Dichotomous Logistic Regression Research Articles

Legal Framework for Security of Organ Transplant Information in the Digital Age with Biotechnology

In the context of the digital age, organ transplantation, as a life-saving technology, has become increasingly prominent in its information security. This paper aims to explore and construct a legal framework for organ transplant information security that meets the requirements of the digital age. First, the article outlines the legal background of organ transplantation and its new challenges in the digital age, emphasizing the centrality of information security in the organ transplantation process. The article then elaborates on the legal definitions and classifications of organs and discusses how digital technologies are changing these definitions and classifications. In the same way, the study of how people think about organ donation and transplantation used non-parametric tests, analysis of variance, and logistic regression to determine how people think about these things differently in different groups. Dichotomous logistic regression models were also created. This paper examines the current legal frameworks that protect organ transplant information in the digital age. The focus is on how biotechnology is linked to data privacy, security measures, and ethical concerns. This shows the importance of a complete regulatory framework to protect individuals' health information about organ transplants. This paper's research goal is to make a stronger legal guarantee for organ transplant information security. This will help organ transplantation technology grow healthily, protect the rights and interests of donors and recipients, and keep people's sense of dignity.

A majority of the patient achieved both patient-acceptable symptom state and minimal clinically important difference of International Knee Documentation Committee Subjective Knee Form score at one year after anatomical double-bundle anterior cruciate ligament reconstruction

ObjectivesThere is a paucity of data about clinical outcomes after double-bundle anterior cruciate ligament reconstruction (DB-ACLR) using the concepts of patient-acceptable symptom state (PASS) and minimal clinically important difference (MCID). The aim of the present study was to evaluate the one-year clinical outcomes of patients who underwent DB-ACLR using PASS and MCID. MethodsAchievement of PASS and MCID were retrospectively evaluated for 298 (mean age 26.9 years; 145 men/153 women) and 214 patients (mean age 23.9 years; 114 males/100 females), respectively, who underwent primary DB-ACLR using a hamstring autograft. For patients who achieved PASS or MCID, demographics, preoperative and postoperative data were statistically analyzed. ResultsOf 298 patients, 254 (85.2%) achieved International Knee Documentation Committee-Subjective Knee Form (IKDC-SKF) PASS and 191 out of 214 patients (88.8%) achieved MCID. The dichotomous logistic regression analyses to assess the achievement of PASS showed that younger age (odds ratio [OR], 0.96; 95% confidence interval [CI], 0.93–0.99; P ​= ​0.013), male sex (OR, 2.2; 95% CI, 1.08–4.83; P ​= ​0.030) and better one-year quadriceps strength symmetry (OR, 1.05; 95% CI, 1.03–1.07; P ​< ​0.001) were independent predictors of PASS achievement. For MCID, preoperative IKDC-SKF score below the 50th percentile (OR, 14.39; 95% CI, 2.90–71.25; P ​= ​0.001) and better one-year quadriceps strength symmetry (OR, 1.035; 95% CI, 1.007–1.064; P ​= ​0.014) were independent predictors for MCID achievement. ConclusionsMore than 85% of the patients achieved PASS and MCID for the IKDC-SKF score one year after undergoing DB-ACLR with hamstring tendon autograft. Better quadriceps strength symmetry at one year contributed to the achievement of both PASS and MCID. Rehabilitation dedicated to quadriceps strength recovery may be important for achieving good clinical outcomes after DB-ACLR. Level of evidenceIV, retrospective cohort.

Farmers’ Perception and Financial Profitability of Mustard Production in Bangladesh

The study was undertaken to assess farmers’ perception and explore the factors affecting farmers’ decision to adopt mustard production along with estimate financial profitability and identify potentials and problems of mustard production. Based on stratified random sampling, 120 farmers were interviewed using a structured questionnaire to collect primary data from different villages of Ullahpara upazila under Sirajganj district of Bangladesh. A combination of descriptive statistics, mathematical and statistical technique was used to analyze the data and to achieve the objectives. The study depicts that the highest number of the respondents (35%) belong to the 31-45 age group. Seventy two percent respondents were small farmers having land less than 1.0 hectare and they allocated 34% of their farm area for mustard production. Financial profitability analysis shows that mustard production was profitable on both variable cost and total cost basis and its benefit cost ratio (BCR) was more than one. In case of farmers perception, it was revealed that short duration crop, consumers’ preferences, product price, extension services and sharing of work among household members were the main driving factors for mustard production. Applying dichotomous logistic regression model, four factors namely, farmers’ age, number of family members, experience and farm size were found as significant determinants of adoption of mustard production. Large domestic market, limited use of high-yielding varieties, growing demand for mustard oil and attack of pests and diseases were found as important strength, weakness, opportunities and threats of mustard production, respectively. Finally, the study recommends that there are ample opportunities to enhance mustard production by ensuring access to quality seeds, adopting new technologies, securing fair prices, providing input subsidies, and improving institutional credit facilities with favorable terms and conditions. Bangladesh J. Nuclear Agric, 38(1): 65-80, 2024

Factors shaping consulting foresters' services to family forest landowners

Consulting foresters provide a wide range of services to forest landowners. These services play a crucial role in meeting the many goals of forest landowners and maintaining sustainable, healthy forests. There is limited information about the extent to which foresters engage in consulting work to fulfill the forest management objectives of family forest landowners (FFLs). Using the online survey tool Qualtrics, we sent survey questions to registered foresters from West Gulf Coastal Plain regions of the United States (Arkansas, Louisiana, Oklahoma, and Texas). In this study, we described registered foresters' employment level of practicing consulting work (full-time vs part-time) and used a dichotomous logistic regression model to quantify the practice of consulting forestry by foresters (full-time vs. part-time), impacts of foresters' socio-demographic characteristics (e.g., age and income), landowners' forestland characteristics (e.g., forest types- pine and mixed), and services requested by landowners (e.g., site preparation, planting, thinning, and timber sale) on the choice of practicing consulting foresters. Results indicate about two-thirds (63 %) of the respondents were practicing as full-time consultants, and the remaining were considered part-time. Full-time foresters had a higher number of clients and clients with larger pine forestland (p < 0.05). In addition, consultant income was negatively significant with the level of employment (p < 0.05). Designing and developing outreach programs that facilitate awareness of and use of the benefits of technical services provided by consulting foresters could improve forest management returns among FFLs.

Readiness for return to work and its influencing factors among head and neck cancer patients: a cross-sectional study.

This study aims to investigate the Readiness for Return-to-Work (RRTW) of patients with head and neck tumours and to analyse the relationships among self-efficacy, disease uncertainty, psychosocial adaptation, and RRTW in head and neck cancer (HNC) patients. A cross-sectional study was conducted with 259 HNC patients with a discharge length of ≥1 month at a tertiary hospital in Liaoning Province. The research tools included a self-designed general information questionnaire, the Readiness for Return-to-Work (RRTW) Scale, the General Self-Efficacy Scale (GSES), the Mishel Uncertainty in Illness Scale (MUIS), and the Self-Reporting Psychosocial Adjustment to Illness Scale (PAIS-SR). Descriptive statistical analysis, the rank sum test, Spearman correlation analysis, and ordered multiple and dichotomous logistic regression analyses were used. The overall RRTW among HNC patients was low (41.9%). HNC patients who did not return to work were mainly in the precontemplation stage (38.1%) and contemplation stage (29.9%). HNC patients who returned to work were mainly in the active maintenance stage (64.2%). Children's status (OR = 0.218, 95% CI 0.068-0.703), self-efficacy (OR = 1.213, 95% CI 1.012-1.454), unpredictability (OR = 0.845, 95% CI 0.720-0.990), occupational environment (OR = 0.787, 95% CI 0.625-0.990), and family environment (OR = 0.798, 95% CI 0.643-0.990) influence the RRTW of HNC patients who have not returned to work. Educational level (OR = 62.196, 95% CI 63.307-68.567), children's status (OR = 0.058, 95% CI 1.004-2.547), self-efficacy (OR = 1.544, 95% CI 3.010-8.715), unpredictability (OR = 0.445, 95% CI 1.271-2.280), and psychological status (OR = 0.340, 95% CI 1.141-2.401) influence the RRTW of HNC patients who have returned to work. Children's status, education level, self-efficacy, illness uncertainty, and psychosocial adjustment are crucial to RRTW. This study provides a theoretical basis for formulating intervention measures aimed at improving the RRTW of patients.

Analysis of factors associated with positive surgical margins and the five-year survival rate after prostate cancer resection and predictive modeling.

This study analyzed the risk factors associated with positive surgical margins (PSM) and five-year survival after prostate cancer resection to construct a positive margin prediction model. We retrospectively analyzed the clinical data of 148 patients treated with prostatectomy. The patients were divided into PSM group and Negative surgical margins (NSM) group. Several parameters were compared between the groups. All patients were followed up for 60 months. The risk factors for PSM and five-year survival were evaluated by univariate analysis, followed by multifactorial dichotomous logistic regression analysis. Finally, ROC curves were plotted for the risk factors to establish a predictive model for PSM after prostate cancer resection. (1) Serum PSA, percentage of positive puncture stitches, clinical stage, surgical approach, Gleason score on puncture biopsy, and perineural invasion were significantly associated with the risk of PSM (P < 0.05). Serum PSA, perineural invasion, Gleason score on puncture biopsy, and percentage of positive puncture stitches were independent risk factors for PSM. (2) Total prostate-specific antigen (tPSA) by puncture, nutritional status, lymph node metastasis, bone metastasis, and seminal vesicle invasion may be risk factors for five-year survival. Lymph node metastasis and nutritional status were the main risk factors for the five-year survival of patients with prostate cancer. (3) After plotting the ROC curve, the area under the curve (AUC) [AUC: 0.776, 95%, confidence interval (CI): 0.725 to 0.854] was found to be a valid predictor of PSM; the AUC [AUC: 0.664, 95%, confidence interval (CI): 0.576 to 0.753] was also a valid predictor of five-year survival (P < 0.05). (4) The scoring system had a standard error of 0.02 and a cut-off value of 6. It predicted PSM after prostate cancer resection with moderate efficacy. Serum PSA, perineural invasion, puncture biopsy Gleason score, and percentage of positive puncture stitches were independent risk factors for positive surgical margins (PSM). Also, lymph node metastasis and nutritional status were the main risk factors for the five-year survival of patients with prostate cancer. Overall, the prediction efficacy of this scoring system concerning the risk of PSM after prostate cancer resection was moderate.

노인의 우울 관련 요인

The purpose of this study is to identify the factors related to the risk of depression in single-person households aged 65 or older and the elderly married couples, focusing on leisure activities and social contact factors. For this study, the data of 7,595 people selected according to the criteria for selecting subjects for this study were analyzed out of 10,097 participants in the 2020 Survey of the Elderly conducted by the Ministry of Health and Welfare and the Institute for Health and Social Affairs. For data analysis, frequency and percentage, mean and standard deviation, chi^2-test, independent sample T-test, and dichotomous logistic regression analysis were performed using the IBM SPSS Statistics Version 23.0 program. As a result, the risk of depression was statistically significantly lower in the case of leisure activities regardless of type than in the case of no leisure activities, and watching performances and sports games, and static entertainment activities were the most related factors to the risk of low depression. On the other hand, the frequency of meetings with children was not a significant factor related to the risk of depression, and frequent phone calls were a significant factor related to the risk of low depression. Meeting friends more than twice a week was a significant association factor with the low risk of depression, but phone calls with friends more than twice a week increased the risk of depression by 1.70 times. Therefore, in order to reduce the depression of the elderly in the increasing number of single-person or married households, it is necessary to encourage them to participate in any leisure activities and come up with measures to maintain social contact.

Regresi Logistik Ordinal untuk Memodelkan Predikat Lulusan Perguruan Tingggi

Logistic regression is an alternative model that can model the relationship between a categorical response variable and one or more categorical, continuous predictor variables, or a combination of categorical and continuous predictor variables. Based on the number of categories in the response variable, the logistic regression model consists of a dichotomous logistic regression model and a polychotomous regression model. The dichotomous logistic regression model is a logistic regression model that has two categories in the response variable and has a Bernoulli distribution. In comparison, the polychotomous logistic regression model is a logistic regression model that has three or more categories and a multinomial distribution. The polychotomous logistic regression model is divided into two models, namely the multinomial logistic regression model and ordinal logistic regression. This research aims to examine ordinal logistic regression modeling and its application to the predicate of graduates of the undergraduate program at the Faculty of Mathematics and Natural Sciences, Mulawarman University (FMIPA UNMUL) for the 2020 graduation period. The results of the research show that the factors that have a significant influence on the predicate of graduates of the FMIPA UNMUL undergraduate program are gender and admission route. Female graduates of the FMIPA UNMUL undergraduate program have a greater chance of achieving satisfactory and very satisfactory predicates compared to achieving a cum laude predicate. Graduates of the FMIPA UNMUL undergraduate program who are accepted through the SMMPTN admission route have a lower chance of achieving satisfactory and very satisfactory predicates compared to achieving a cum laude predicate.

Exploring Antenatal Health Care Service Utilization in Nepal: A Comprehensive Analysis

The utilization of maternal health care is one of the important factors in reducing the incidence of maternal mortality. Studies in Nepal and in developing countries shows that various demographic, socio-economic and economic factors are associated with ANC service utilization. The main objective of this study is to identify and examine socio-demographic and economic factors affecting antenatal healthcare service utilization in Nepal. This study used data from the Nepal Demographic and Health Survey 2016 and analyzed the data using logistic regression analysis. This research analyzes ANC (antenatal care) concerning dependent variables: age, birth order, religion, ethnicity, educational attainment, province, residence, and wealth indices. Maternal health has been receiving increased attention in the global health, development, and human rights agenda, representing a priority area for accelerating progress on the SDGs and sustaining the gains of the MDGs. Bivariate analysis was conducted for all variables, and some of them were statistically significant at the 5 percent significance level (since p &lt; 0.05). The dichotomous use of modern maternal healthcare utilization, namely whether a woman utilized maternal health care or not, employed dichotomous logistic regression to determine which factors best explain and predict the outcome of maternal health care utilization during pregnancy. A positive estimated value indicates that the odds favor the event and the event is likely to occur, while a negative value indicates that the event is not likely to occur. ANC visits of women decrease with birth order. Based on empirical results, the major factors for ANC services were income, awareness, access to health care services, and birth order attended. The level of awareness among women about the utilization of maternal healthcare in the study area was low. Maternal healthcare service utilization differed across various components of maternity. It would be better to increase awareness about the utilization of modern maternal healthcare for mothers and improve access to healthcare services in their villages to minimize transportation costs and waiting times from the government's side, thus increasing the utilization of maternal health care services in Nepal.

Association of serum Asprosin concentrations with heart failure

BackgroundTo analyze the association of serum Asprosin concentrations with heart failure (HF).MethodsA total of 103 patients with HF were included in the HF group, and 103 patients with health checkups were included in the non-HF group. The serum Asprosin levels of the two groups were measured, and relevant clinical data were collected for statistical analysis.ResultsCompared with the non-HF group, the serum Asprosin concentration was significantly higher in the HF group, and the difference was statistically significant (P < 0.001). According to the serum Asprosin levels, we divided all the subjects into three quartiles. We found that the prevalence of HF increased with increasing serum Asprosin levels in the three groups (P < 0.001). Serum Asprosin levels were positively correlated with NT-ProBNP (P < 0.05) and negatively correlated with LVEF (P < 0.001). Dichotomous logistic regression analysis found Asprosin and age to be independent risk factors for HF (OR = 1.010, 95% CI: 1.003–1.018; OR = 1.058, 95% CI:1.004–1.665, respectively). Combining Asprosin and NT-proBNP indicators to draw ROC curves can improve the specificity and sensitivity of HF diagnosis.ConclusionsSerum Asprosin levels were significantly elevated in HF patients. The serum Asprosin level is an independent risk factor for HF, and the combined detection of Asprosin and NT-proBNP levels can improve the accuracy of HF diagnosis.

Prevalence of frailty in severe mental illness: findings from the UK Biobank.

Severe mental illness (SMI) is associated with significant morbidity. Frailty combines biological ageing, comorbidity and psychosocial factors and can predict adverse health outcomes. Emerging evidence indicates that frailty is higher in individuals with SMI than in the general population, although studies have been limited by sample size. To describe the prevalence of frailty in people with SMI in a large cohort using three different frailty measures and examine the impact of demographic and sociodemographic variables. The UK Biobank survey data, which included individuals aged 37-73 years from England, Scotland and Wales from 2006 to 2010, with linked in-patient hospital episodes, were utilised. The prevalence of frailty in individuals with and without SMI was assessed through three frailty measures: frailty index, physical frailty phenotype (PFP) and Hospital Frailty Risk Score (HFRS). Stratified analysis and dichotomous logistic regression were conducted. A frailty index could be calculated for 99.5% of the 502 412 UK Biobank participants and demonstrated greater prevalence of frailty in women and an increase with age. The prevalence of frailty for those with SMI was 3.19% (95% CI 3.0-3.4), 4.2% (95% CI 3.8-4.7) and 18% (95% CI 15-23) using the frailty index, PFP and HFRS respectively. The prevalence ratio was between 3 and 18 times higher than in those without SMI. As a measure, frailty captures the known increase in morbidity associated with SMI and may potentially allow for earlier identification of those who will benefit from targeted interventions.

Correlation of preoperative CT imaging shift parameters of the lateral plateau with lateral meniscal injury in Schatzker IV-C tibial plateau fractures

BackgroundSchatzker IV-C is a high-energy tibial plateau fracture often accompanied by lateral meniscus injuries. While imaging examinations are routine preoperative measurements, the correlation between CT imaging shift parameters of the lateral plateau and lateral meniscal injury in Schatzker IV-C fractures remains uncovered.MethodsThis retrospective study enrolled a total of 60 patients with Schatzker IV-C tibial plateau fractures at the First People’s Hospital of Hefei. Prior to surgery, CT imaging was used to measure the numerical values of lateral plateau depression (LPD) and lateral plateau widening (LPW). The degree of lateral meniscus injury was confirmed based on intraoperative direct vision, with patients being classified into meniscus injury and non-meniscus injury groups. Dichotomous logistic regression was employed to evaluate the correlation between LPD, LPW, and lateral meniscus injury, while the optimal cut-off points for predicting lateral meniscal injury with LPD and LPW were determined using receiver operator characteristic (ROC) curves.ResultsThe meniscus injury group exhibited a mean LPD of 15.3 ± 3.5 mm, which was significantly higher than the non-meniscus injury group’s mean LPD of 8.4 ± 3.4 mm (P < 0.05). Similarly, the meniscus injury group had a larger mean LPW of 9.4 ± 1.8 mm compared to the non-meniscus injury group’s mean LPW of 6.9 ± 0.9 mm (P < 0.05). The optimal cut-off points for predicting lateral meniscal injury were determined to be 8.40 mm for LPD (with a sensitivity of 95%, specificity of 85%, and AUC of 0.898) and 7.90 mm for LPW (with a sensitivity of 75%, specificity of 90%, and AUC of 0.897).ConclusionsPatients with Schatzker IV-C tibial plateau fractures are at a significantly higher risk of lateral meniscal injury when the LPD exceeds 8.40 mm and/or the LPW exceeds 7.90 mm. Our results may provide novel reference metrics for the early diagnosis of lateral meniscal injury in Schatzker IV-C tibial plateau fracture patients when the MRI examination is not available.

Is using the Gail model to calculate the risk of breast cancer in the Venezuelan population justified?

To evaluate the accuracy of the Gail model (GM) in women who already have a diagnosis of breast cancer (BC) from the Breast Pathology Service, Hospital Oncology Department of the Venezuelan Social Security Institute (SOH-IVSS) in the period 2004-2014. To compare the accuracy of the GM in women aged above and below 40 years with a diagnosis of BC. Descriptive, retrospective, cross-sectional, 830 records of patients diagnosed with BC were reviewed between 2004 and 2014. The mean age for diagnosis of the disease was 46 ± 13 years; menarche age was 13 years ± 2; age at first birth 22 ± 5 years, with a history of biopsy 32 ± 11, the percentage of relatives with a primary history of BC reported (PHBC) 9.3%. Only 41% of women with a diagnosis of BC reported Gail >1.67 (positive Gail). In the dichotomous logistic regression that related positive Gail with the independent variables, it was observed: greater probability of positive Gail if menarche age <11 years (p < 0.036), PHBC (p = 0.005), previous biopsy (p = 0.007), age at first birth 25-29 years (p = 0.019). When stratifying by age, unlike the bivariate analysis, women over 40 years of age are more likely to have a positive Gail in menarche age <11 years (p = 0.008), PHBC (p = 0.001), previous biopsy (p = 0.025) when compared with younger women, the age at first birth between 25 and 29 years was statistically significant for both groups; however, the probability was higher in younger women (p = 0.008). There is no conclusive evidence to consider that the GM is applicable to Venezuelan women due to its low precision since it only identified 41% of the patients who had BC as high risk; however, when the factors are analysed separately, we found a higher probability of a positive Gail with statistical significance in EM <11 years, PHBC, previous biopsy and age at first birth 25-29 years; When stratifying by age, we observed that the age at first birth 25-29 years in women aged 40 or less increases the probability of a positive Gail. It is necessary to develop new risk assessment models that are adapted to our female population.

Perceptions of professional social media interaction with patients and faculty members – a comparative survey among dental students from Malaysia and Finland

BackgroundProfessional and personal boundaries are blurred with the wide application of social media (SM) in the health professions line of work. Little is known about practice of extending friend requests to patients and faculty members among dental students, which encompass a part of E-professionalism. The aim of this study is to assess the factors associated with the perceptions and practices of interactions with patients and faculty on SM among dental students from Malaysia and Finland.MethodsDental students from 4 institutions in Malaysia and Finland completed self-administered questionnaires on the practices and perceptions of SM use. The main variables assessed were the perceptions and practices of student-patient and student-faculty communication on SM, between the two countries. Students’ country, age, gender, time spent on SM and perceived importance of communicating dental related aspects over SM were analysed as potential explanatory variables. Crosstabulation was used to estimate the distributions of the response variables by the background characteristics. Multivariate analyses were performed using a dichotomous logistic regression model to investigate relevant associations between the responses and the explanatory variables independent from other factors.ResultsA total of 643 students completed the survey in March-April 2021. More Malaysian students agreed with “guiding patients online is a new responsibility for dentists in the digital age” compared to Finnish students (86.4% vs. 73.4%). Similarly, significantly more Malaysian students befriended patients (14.1% vs. 1%) and invited faculty to be friends on SM (73.6% vs. 11.8%). Expectedly, clinical year students befriended patients more than pre-clinical (13.8% vs. 6.8%). Significantly more students who felt ‘communication of dental related issues over SM’ were likely to extend friend requests to faculty rather than accept patient friend requests.ConclusionsSocial media regulations and socio-cultural practices contribute to dental students’ attitudes and behaviour when befriending patients and faculty members on social media. Future dental curriculum should incorporate guidelines for professional communication on social media based on local and cultural needs. Students’ should be encouraged to interact with their patients using professional identities on social media.

Characteristics of patients with stage III and IV ovarian endometriomas and trends in postoperative anti-Mullerian hormone changes.

This study aimed to investigate the manifestations of postoperative Anti-Mullerian hormone (AMH) changes in patients with stage III and IV ovarian endometriomas. Trends in postoperative AMH were categorized and described, and the risk factors for postoperative AMH decline were screened using dichotomous logistic regression. The overall trend of postoperative AMH decreased, with a more significant decrease in stage IV than stage III cases. Elevated preoperative CA-125 levels, a history of caesarean section, and abortion were independent risk factors for postoperative AMH decline. There is a general trend toward decreasing AMH levels after surgery, but each case may also show a different elevation.

Clinical Analysis of Diabetic Nephropathy Risk Factors and Correlation with Blood Pressure Control

Objective: To explore the risk factors of diabetic nephropathy and its correlation with blood pressure control. Methods: A retrospective analysis of 80 patients with diabetic nephropathy (diabetic nephropathy group) and another 80 patients with diabetes (diabetic group) who were admitted to the Department of Nephrology and Endocrinology at our hospital from October 2021 to October 2022 was conducted. The general data of the two groups were compared, the influencing factors associated with the two groups were analyzed unilaterally, and unconditional dichotomous logistic regression was performed to analyze the influencing factors in patients with diabetic nephropathy. Results: There were no significant differences in high-density lipoprotein, systolic blood pressure, diastolic blood pressure, and creatinine between the two groups (P &gt; 0.05); however, compared with the diabetic group, the DN group had significantly elevated glycated hemoglobin, low-density lipoprotein, 24-h urine protein, insulin resistance, and diabetes duration ? 10 years (P &lt; 0.05). Conclusion: The clinical research on the correlation between the incidence of hypertension and the control of blood pressure in patients with diabetic nephropathy should be strengthened in order to formulate reasonable and feasible treatment plans.

Relationships Between Impulsivity, Methamphetamine use Disorder and Gambling Disorder.

Methamphetamine use disorder (MAUD) and gambling disorder (GD) frequently co-occur. Individuals with both conditions are typically more difficult to treat than those with either disorder alone. This study aimed to investigate the co-occurrence and clinical characteristics of people with MAUD and GD. Between March 2018 and August 2020, 350 men with methamphetamine use entering a compulsory drug rehabilitation center in Changsha, Hunan Province received semi-structured interviews. Participants completed the Barratt Impulsiveness Scale-11 and provided information on childhood upbringings and drug use characteristics. Independent sample t-tests compared differences between individuals with MAUD and with and without co-occurring GD. Dichotomous logistic regression was used to statistically predict co-occurring GD. The prevalence of GD was 45.1%. Most individuals (39.1% overall) had post-onset methamphetamine use (PoMAU-GD). The number of MAUD symptoms, history of gambling by family members, age of first sexual activity, and non-planning impulsivity statistically predicted PoMAU-GD, jointly explaining 24.0% of the total variance. The regression model fit well (HLχ2 = 5.503, p = 0.70), in which the specificity was 0.80, the sensitivity was 0.64, and the area under the curve was 0.79 (95%CI: 0.75-0.84). This study clarifies the prevalence of and potential risk factors for GD among individuals engaging in compulsory MAUD treatment in China. The high prevalence and associated clinical features of GD in the MAUD group highlight the importance of screening for GD in this population and intervening accordingly.

Abstract P447: Association Between Cardiovascular Health (CVH) Throughout Early Adulthood With Prevalent Non-Alcoholic Fatty Liver Disease (NAFLD) in Mid-Life: The Coronary Artery Risk Development in Young Adults (CARDIA) Study

Background: Nonalcoholic fatty liver disease (NAFLD) is associated with high prevalence of cardiovascular disease and its risk factors. More favorable cardiovascular health (CVH) profiles are associated with a lower prevalence of NAFLD in cross-sectional studies. However, the relationship between long-term CVH patterns in early adulthood and prevalence of NAFLD in midlife remains unknown. We aimed to assess these patterns. Methods: We used data from participants (18-30 years at baseline) of the CARDIA study who had individual CVH components measured at 7 examinations over 20 years and liver fat assessed by non-contrast computed tomography (CT) at year 25 follow up. Group-based trajectory modeling was used to create CVH trajectories, according to American Heart Association definitions, from baseline through follow-up year 20. NAFLD was defined as liver attenuation of &lt; 51 HU after exclusions. Dichotomous logistic regression was used to examine associations of baseline CVH scores (n=2618) or CVH trajectory group (n=2529) and prevalence of NAFLD at year 25. Results: At baseline, 39% of 2618 participants had high and 5% had low CVH, respectively. At year 25, NAFLD prevalence was 23% (n = 609). At year 25, compared to those without NAFLD, participants with NAFLD were more likely be male (54.2% vs. 37.3%) and be a current smoker (27.1% vs. 21.7%) at baseline. Participants with low (HR = 3.24, 95% CI = 2.13, 4.95) and moderate (HR = 1.85, 95% CI = 1.50, 2.29) CVH scores at baseline were more likely to have a higher risk of prevalent NAFLD compared to participants with high CVH scores. Five distinct trajectories of CVH were identified. Lower and decreasing trajectories were associated with higher risk of prevalent NAFLD at year 25 compared to the high stable trajectory (Figure). Conclusion: Low CVH scores in young adulthood and low and decreasing CVH trajectories throughout early adulthood are associated with higher prevalence of NAFLD in midlife. Optimizing CVH in early adulthood is critical for lowering risk for prevalent NAFLD in midlife.

The Association Between Unhealthy Weight Loss Behaviours and Depressive Symptoms in Adolescents: a Cross-Sectional Study

Objective To analyse the relationship between unhealthy weight loss behaviours and depressive symptoms in adolescents through a cohort study to provide a reference for subsequent research.&#x0D; METHODS: From June to December 2021, two secondary schools in urban and rural Zhuhai were sampled using a stratified whole-group sampling method, and the Unhealthy Weight Loss Behaviour Questionnaire and the Depression Scale (CES-D) were used to investigate the weight loss behaviour and depressive symptoms of students aged 12 to 18 years. A total of 2834 study participants were included, including 906 (31.97%) male students and 1928 (68.03%) female students. The χ2 test was used to analyse the relationship between general demographic characteristics and depressive symptoms, and a dichotomous logistic regression model was used to analyse the relationship between unhealthy weight-loss behaviour and depressive symptoms.&#x0D; Results:Of the 2834 study participants, 2307 (81.40) were found to have unhealthy weight loss behaviours and 994 (35.74%) were found to have depressive symptoms. The results of the univariate analysis showed that different gender (χ2=29.94,P&lt;0.01), school type (χ2=3.82,P&lt;0.01), father's parenting style (χ2=96.81,P&lt;0.01), mother's parenting style (χ2=114.20,P&lt;0.01), academic stress (χ2=189.42,P &lt;0.01), and number of friends (χ2=162.81,P&lt;0.01) had different rates of detecting depressive symptoms in adolescents. Dichotomous logistic regression analysis showed that unhealthy weight loss behaviour was a risk factor for the detection of depressive symptoms in adolescents (OR=1.512, p&lt;0.01), and unhealthy weight loss level was positively associated with the detection of depressive symptoms.&#x0D; Conclusion Unhealthy weight loss behaviours were positively associated with depressive symptoms in Zhuhai adolescents.

Research on the Influencing Factors and Support Degree of Kindergarten Parents for Public and Private Enrollment Policy——Taking Hangzhou as an Example

Today, people’s demand for quality education is growing, and parents place particular importance on the quality of education their children receive, and under the mechanism of early enrolment in private schools, there is a constant “private fever” and “training fever” in the society. In response to this, the Hangzhou government issued the Notice on Simultaneous Enrolment in Public and Private Primary Schools to ease the pressure on public schools. In this paper, we used Apriori algorithm to mine data based on questionnaire data and found that people who are more aware of the policy are generally freelancers, their children are in the first grade and their annual income is between RMB 100,000 and 200,000. We also investigated parents’ support for the policy, using basic family and child characteristics as independent variables and whether they support the policy as the dependent variable, and developed a dichotomous logistic Regression model to fit the probability of parents supporting the policy and made recommendations based on this.