Logistic Regression Model Analysis Research Articles

Epidemiology of cutaneous leishmaniasis in children of Khyber Pakhtunkhwa, Pakistan.

In Pakistan, cutaneous leishmaniasis is an emerging tropical disease and a very high number (>70%) of children are afflicted by this marring infection. This study aimed to scrutinise the prevalence, spatial distribution and socio-demographic and behavioural risk factors associated with cutaneous leishmaniasis in children aged <5-15 years in Khyber Pakhtunkhwa. A total of 1, 559 clinically confirmed records of children diagnosed with cutaneous leishmaniasis (January-December) from 2020 and 2022 were obtained from selected district hospitals. In addition, a risk factors-related questionnaire was administered to 1, 011 households (400 in 2020 and 611 in 2022) in nine districts during a household survey. The maximum number of cutaneous leishmaniasis cases was recorded in 2022 (n = 877, 56.25%) as compared to 2020 (n = 682, 43.75%). The hospital records showed a greater number of male patients in the 2022 cohort (n = 603, 68.76%). The highest number of cases were observed in children aged 5-9 years in 2022 (n = 282, 32.16%) and 2020 (n = 255, 37.39%). In 2020 and 2022, cutaneous leishmaniasis cases showed peak aggregation in March (n = 118, 17.3%) and January (n = 322, 36.72%). From a spatial analysis, the maximum number of cutaneous leishmaniasis cases was recorded at 59-1700 m elevation in various land-use/land-cover and climatic regions with quaternary alluvium rock formations. A multivariate logistic regression model analysis of risk factors from the households survey suggested that age group, socio-economic status, construction materials of the house, use of insect repellents, Afghan refugee camps in the village/district, knowledge and biting times of sand flies, frequent use of mosquito bed nets, presence of domestic animals in the house, knowledge of the transmission period and peak month of leishmaniasis infection increased the risk of acquiring cutaneous leishmaniasis (p value < 0.05). Our analysis demonstrated that cutaneous leishmaniasis in children is influenced by a variety of environmental, socio-demographic and behavioural risk factors in Khyber Pakhtunkhwa. The increase in recorded cases of cutaneous leishmaniasis in children in 2022 compared to 2020 suggests that the infection likely extended to new foci in the province.

Determinants of nutritional status of children aged 6–59 months in the case of Itang special woreda, Gambella, Ethiopia

Nutritional status is one of the most important causes of improper physical and mental development in children. The study attempts to assess the factors affecting the severity status of children aged 6–59 months’ malnutrition based on the weight-for-age anthropometric index (z-score) and examine between-kebeles-level differences in determinants of the nutritional status of children. A community-based, cross-sectional study design was conducted from October 12 to November 12, 2022. A sample of 397 children aged 6–59 months primary data by applying multi–stage clustered sampling technique was used by considering their heterogeneity. The data were entered by SPSS and analyzed by using R version 3.4.0 and STATA 14.2 statistical software package using a multilevel ordinal logistic regression model and inferences were conducted at a 5% significance level. The results show that birth interval ≥ 24 months (OR = 1.431253, 95% CI 1.221337 1.6763421, P-value = 0.008), economic status of households medium (OR = 16.21466, 95% CI 1.221403 1.423929, P-value = 0.000), economic status of households rich (OR = 223.2856, 95% CI 1.34295 2.582325, P-value = 0.000), employment status of the mother unemployed (OR = 0.2291348, 95% CI 0.0529511 0.9966281, P-value = 0.049), No toilet facility (bush field) (OR = 0.3163329, 95% CI 0.1825356 0.5481975, P-value = 0.000), number of household members (OR = 0.9100682, 95% CI 0.8313481 0.9967315, P-value = 0.042), breastfeeding < 12 months (OR = 0.53803, 95% CI 0.322315 0.898135, P-value = 0.018), educational level of father Primary (OR = 4.601687, 95% CI 1.758009 2.22053, P-value = 0.000), educational level of father Secondary above (OR = 99.65229, 95% CI 2.533502 4.788896, P-value = 0.000) and geographical area (kebeles) were found to be important factors that affect a child's nutritional status between 6 and 59 months. 15% of the overall variation is attributable to the Kebeles level, according to two-level multilevel ordinal logistic regressions with estimates of the variation attributable to the Kebeles level equal to 0.569 and an intraclass correlation coefficient of 0.15. Due to the nature of the response variable random intercept model with random coefficients fitted the data adequately in predicting the severity status of children aged 6–59 months’ malnutrition for the multilevel ordinal logistic regression model analysis. So, the researcher recommended that implementing primary health care and nutrition programs that would fit each kebeles’ features in Itang Special Woreda to safeguard children from nutritional deficiency.

Crowdfunding Success Factors: Financial Information and Advertising Finance

This study aimed to determine whether financial information, business location, funding objectives and advertising content as intervening variables can help the success of funding through 10 crowdfunding platforms registered with OJK. This study used signalling theory in discussing equity crowdfunding platforms, which can be assumed by small investors as a signal of business quality and can convince investors to invest, thus reducing the problem of information asymmetry. The research method used in this study was descriptive quantitative with the analytical model used to test the hypothesis was the logistic regression analysis model. The population of this study consisted of companies seeking funding through crowdfunding platforms registered with OJK Indonesia. The research was conducted in 2023. The data used in this study was secondary data obtained from published crowdfunding platform data. A purposive sampling technique was used to determine the research sample. The results of this study are expected to provide information to funding project owners and investors to be used as a guide in making decisions. Keywords: financial information, business location, funding purpose, advertising finance, and funding success

Lower Melatonin Indicates Poor Short-term Prognosis in Patients with Acute Ischemic Stroke.

We evaluated endogenous melatonin levels in the acute phase of cerebral infarction and explored the impact of possible changes in melatonin levels on the prognosis of patients. This study recruited acute ischemic stroke (AIS) patients from the Department of the Second Affiliated Hospital of Soochow University between December 2019 and June 2021, along with healthy control subjects. Salivary melatonin samples were collected from each participant between 7 pm and 10 pm, and fasting plasma was collected the following morning to measure the levels of inflammatory markers. The prognosis was assessed through follow-up three months after discharge. The relationship between melatonin levels and plasma inflammatory markers was assessed, followed by an analysis of the effect of melatonin levels on patient prognosis. The study enrolled a total of 160 participants, including 120 AIS patients aged 50 years or older (61.7% male) and 40 age-matched controls (55.0% male). The AIS group exhibited lower salivary melatonin levels at 19 (P = 0.002), 20 (P < 0.001), 21 (P < 0.001), and 22 (P < 0.001) o'clock, and the average melatonin level was also lower (P < 0.001). Logistic regression analysis models indicated an association between low melatonin levels and poor prognosis. Salivary melatonin levels demonstrated good predictive ability for the prognosis of AIS patients. Melatonin levels were lower in AIS patients compared to controls. In addition, lower melatonin levels were associated with a poorer prognosis among AIS patients.

Efficacy of short- versus prolonged-courses of antimicrobial therapy for carbapenem-resistant Klebsiella pneumoniae bloodstream infections: A propensity score-matched cohort study

BackgroundAs limited antibiotic options are available for the treatment of carbapenem-resistant Klebsiella pneumoniae (CRKP) bloodstream infections (BSIs), the optimal treatment duration for CRKP BSIs is unclear. Our objective was to investigate whether short courses (6–10 days) are as effective as prolonged courses (≥11 days) of active antibiotic therapy for CRKP BSIs. MethodsA retrospective cohort study comprising adults with monomicrobial CRKP BSI receiving a short or prolonged course of in vitro active therapy at a medical center was conducted between 2010 and 2021. Comparisons of two therapeutic strategies were assessed by the logistic regression model and propensity score analysis. The primary endpoint was 30-day crude mortality. Secondary outcomes included recurrent BSIs, the emergence of multidrug-resistant organisms and candidemia during hospitalization after completing antibiotic therapy for CRKP BSIs. ResultsOf 263 eligible adults, 160 (60.8%) were male, and the median (interquartile range) age was 69.0 (53.0–76.0) years. Common comorbidities included diabetes (143 patients, 54.4%), malignancy (75, 28.5%), cerebrovascular accident (58, 22.1%), and hemodialysis (49, 18.6%). The 30-day mortality rate was 8.4% (22 patients). Of 84 propensity score well-balanced matched pairs, the 30-day mortality was similar in the short-course and prolonged-course group (6.0% and 7.1%, respectively; P = 1.00). However, there were less episodes candidemia in the short-course group (1.2% versus 13.1%; odds ratio, 0.08; 95% confidence interval, 0.01–0.63; P = 0.005). ConclusionShort courses of active therapy for CRKP BSIs demonstrate comparable clinical outcomes to prolonged courses and are associated with a lower risk of subsequent candidemia.

The relationship between QRS-T angle and left ventricular global longitudinal strain in prehypertensive patients

Background and aimThis study aims to examine the relationship between the QRS-T angle (QRS-Ta) detected on electrocardiography and left ventricular global longitudinal strain (LV-GLS) calculated on echocardiography in prehypertensive patients. Materials and methodsA total of 300 patients were included in our study, and the median value of QRS-Ta of the entire population was 27.The patients were divided into two groups (supramedian 148 patients, inframedian 152 patients) according to the median value. Statistical analysis was performed between the two groups. ResultsLV-GLS was lower in the supramedian QRS-Ta group [20 (16–26) vs. 21 (16–27); p < 0.001]. A statistical difference was found between the two groups in age (p < 0.001), BMI (p < 0.001), Hs-troponin I (p < 0.001), aortic velocity (p = 0.023) and TAPSE (p = 0.005) parameters except for LV-GLS.The correlation between QRS-Ta and LV-GLS was determined by Spearman's correlation test (p < 0.001).In the multivariable logistic regression analysis model, LV-GLS (OR: 0.365, 95%CI 0.171–0.780, p = 0.009) was one of the independent predictors for increased QRS-Ta. Others were determined as age (p < 0.001) and TAPSE (p = 0.015). ConclusionsIn this study, a strong relationship was found between QRS-Ta, which is easily calculated by ECG, and LV-GLS, which is an advanced echocardiographic examination, in prehypertensive patients.

Evaluation of Single/Multiple Joint Effects of Lipid Profiles on Hypertension, Diabetes Mellitus and Obesity Accompanying Coronary Artery Disease

Objective: Although cardiovascular diseases are among the most prominent causes of mortality/morbidity in the world, they are even more important together with comorbidities. This study aims to reveal the single/multiple effects of total cholesterol (TC), high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), and triglyceride (TG) on hypertension (HT), type 2 diabetes mellitus (T2DM) and obesity accompanying coronary artery disease (CAD). Method: The data were retrospectively achieved from the records of CAD patients undergoing coronary bypass surgery at the Department of Cardiovascular Surgery, Medical Center, University. The medical knowledge discovery process (MKDP) was applied to the data concerning HT, DM, obesity, TC, HDL-C, LDL-C, and TG variables. Different methods were used to determine the optimal cut-off points of lipid profiles. Logistic regression analysis (LRA) was examined the single/multiple effects of lipid profiles on HT, T2DM, and obesity. Results: TC, LDL-C, TG, and HDL-C lipid profiles categorized according to the cut-off points determined in the current study were analyzed with LRA models. LDL-C (&gt;117 mg/dL)*TC (&gt;191 mg/dL)*HDL-C (&gt;37.2 mg/dL) in HT and TC (&gt;190 mg/dL)*TG (&gt;197) mg/dL)*HDL-C (&gt;36.3 mg/dL) in T2DM interaction terms had a moderate effect size. LDL-C (&gt;115 mg/dL)*TG (&gt;197 mg/dL)*HDL-C (&gt;36.3 mg/dL) interaction terms in T2DM and TC (&gt;192 mg/dL)*LDL-C (&gt;117 mg/dL)*HDL-C (&gt;36.8 mg/dL), TK (&gt;192 mg/dL)*TG (&gt;193 mg/dL)*HDL-C (&gt;36.8 mg/dL) and LDL-C (&gt;117 mg/dL)*TG (&gt;193 mg/dL)*HDL-C (&gt;36.8 mg/dL) interaction terms in obesity were reported as having a high effect size. Conclusion: In conclusion, it is recommended to use the approach that analyzes the cut-off points proposed in this study for lipid profiles in predicting HT, T2DM, and obesity.

PURCHASE CHANNEL SELECTION OF AGRICULTURAL MACHINERY BY WHEAT AND BARLEY FARMERS IN IRAQ: A TRANSACTIONS COST ATTITUDE

This study was aimed to identify the role of transaction costs and their attributes in the selection of markets for the purchase of agricultural mechanization services in Baghdad province. To achieve this goal, a random sample of 150 wheat and barley farmers in the province was selected, and the data was collected through a questionnaire form prepared for this purpose. The research was based on the transaction cost theory as a modified theoretical framework to explain the farmer's behavior towards choosing installment market channels to buy agricultural machinery and through the analysis of the binary logistic regression model. The results of the regression analysis showed that some elements of transaction cost, such as a privacy and uncertainty, have an important role in determining and choosing the installment market for the purchase of tractors, while the element of the number of repeat transactions proved its important role in choosing the installment market for seeders, and the time saving element showed its important role in choosing the installment market for combine harvesters. The results also showed the existence of significant differences in some demographic and economic characteristics related to farmer, such as farmer experience, farm area and net farm income, in influencing the respondents' decision towards choosing the markets for agricultural machinery transactions referred to above.

Occurrence of Coxiellosis in ruminants and its associated risk factors

Coxiellosis in animals is caused by the zoonotic pathogen, Coxiella burnetii. Although the disease is of public health importance it remains underdiagnosed and underreported. The cross- sectional study was aimed to estimate the occurrence of the disease in livestock of study area and also to identify the risk factors associated with the disease in animals. Blood, serum, and vaginal swabs samples were collected from 200 ruminants (cattle, sheep, and goats), across various farms in Karnataka, India. These samples were then screened using ELISA and PCR (com1 and IS1111). A questionnaire was administered to the farm owners to collect the risk factor-related information. About 5.26 % cattle, 12.3 % sheep, and 12.5 % goats were positive by ELISA. By PCR, 9.47 % cattle, 9.3 % sheep, and 10 % goats were positive. Overall, the occurrence of 14.73 %, 18.46 % and 17.5 % was estimated in cattle, sheep and goat, respectively. PCR targeting the IS1111 gene detected higher number of samples as positive as compared to the com1 gene PCR. Higher number of vaginal swab samples were detected as positive as compared to blood. History of reproductive disorders (OR: 4.30; 95 %CI:1.95- 9.46), abortion (OR: 30.94; 95 %CI:6.30- 151.84) and repeat breeding (OR:11.36; 95 %CI:4.16- 30.99) were significantly associated with coxiellosis (p < 0.005). Multivariable analysis by logistic regression model analysis suggested retained abortion, repeat breeding and rearing of animal in semi-intensive system as factors significantly associated with the infection. Cultural identification of the PCR positive samples were cultured using embryonated egg propagation and cell culture techniques and positivity was confirmed in six samples. Phylogenetic analysis of the com1 and IS1111 gene revealed clustering based on similar geographic locations. The study estimated the occurrence of the disease in the study area and identified the potential risk factors.

The influence of advanced maternal age on congenital malformations, short- and long-term outcomes in offspring of nulligravida: a Korean National Cohort Study over 15 years.

To assess the influence of advanced maternal age on congenital malformations, short- and long-term outcomes in offspring of nulligravida. A retrospective study was conducted using the Korean National Health Insurance Service database spanning from January 2005 to December 2019. All live-born offspring of nulligravida (n=3,685,817) were included. The maternal age was subdivided into the following subgroups: <25 years (n=153,818), 25-29 years (n=845,355), 30-34 years (n=1,738,299), 35-39 years (n=787,530), 40-44 years (n=151,519), and >44 years (n=9,296). Outcomes were assessed based on International Classification of Diseases-10 codes. Adjusted odds ratios (aOR) were calculated with the group of 25-29 years as a reference. Most congenital malformations showed an age dependent increase, but cleft lip and abdominal wall defect exhibited a U-shape curve, indicating an increase even in those <25 years old. Similarly, various disorders included in the neonatal composite outcomes from short-term outcomes showed aged dependent escalation. However, the preterm birth from the short-term outcome and most of the long-term developmental outcomes, except for motor developmental delay and Tics, showed a U-shaped pattern. The aOR of autism and cerebral palsy, showing the most obvious U-shaped curved in the long-term outcomes, was 1.50 (95% confidence interval [CI], 1.24-1.82) and 1.54 (95% CI, 1.17-2.03), respectively in the group >44 years old and 1.18 (95% CI, 1.11-1.25) and 1.19 (95% CI, 1.09-1.30) in <25 years old group. Overall, an advanced maternal age has an age-dependent correlation with most congenital malformations and shortand long-term outcomes of neonates.

Health and health behaviours in adolescence as predictors of education and socioeconomic status in adulthood – a longitudinal study

BackgroundThe positive association of health with education level and socioeconomic status (SES) is well-established. Two theoretical frameworks have been delineated to understand main mechanisms leading to socioeconomic health inequalities: social causation and health selection but how these work in adolescence is poorly known. We studied if adolescent health and health behaviours predict higher education and higher SES in adulthood and if family background and school performance in adolescence explain these associations.MethodsSurveys on health and health behaviours were sent to representative samples of 12–18-year-old Finns in 1981–1997 every second year (response rate 77.8%, N = 55,682). The survey data were linked with the respondents’ and their parents’ socioeconomic data from the Finnish national registries. Both latent variables, namely, health (perceived health, health complaints, chronic disease), health-compromising behaviours (smoking status, drunkenness frequency), and family background (parents’ occupation-based SES, education, family type) and variables directly measuring health-enhancing behaviours (toothbrushing, physical activity) and school performance were used to predict higher education and higher occupation-based SES at age 34. Logistic regression analysis and structural equation models (SEM) were used.ResultsIn logistic regression analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours were related to higher education and SES, also after controlling for family background and school performance. In the SEM analyses, good health, health-enhancing behaviours, and lack of health-compromising behaviours directly predicted higher SES and higher education, although the standardised coefficients were low (from 0.034 to 0.12). In all models, health, lack of health-compromising behaviours, and health-enhancing behaviours predicted school performance, which in turn, predicted the outcomes, suggesting indirect routes to these. Good socioeconomic prospects in terms of family background predicted good health, healthy behaviours, and good school performance in adolescence and higher SES and higher education in adulthood.ConclusionHealth and health behaviours in adolescence predicted education and SES in adulthood. Even though the relationships were modest, they support the health selection hypotheses and emphasise the importance of adolescence for health inequalities during the life-course. Health and health behaviours were strongly associated with school performance and family background which together modified the paths from health and health behaviours to the outcomes.

What role does information capacity play in the tourism livelihood of farm households in ethnic villages?

Abstract Tourism livelihood has become an essential livelihood decision for people to get rid of poverty. Under the background of the internet era, it is of great significance to study how ethnic village farm households can participate in tourism livelihood with the help of information capacity. Applying the Resource Orchestration Theory and taking Guolan Yao Village in Jiangyong County of Hunan Province as an example, this paper uses binary logistic regression model and fuzzy set qualitative comparative analysis method to explore the mechanism of farm households’ information capacity affecting their tourism livelihood. The findings are as follows: Firstly, in addition to financial capital, other livelihood capital and information capacity have a significant impact on farm households’ participation in tourism livelihood. Secondly, when financial capital is lacking, farm households in ethnic villages with information capacity can unite with human capital, social capital, natural capital or physical capital to make up for the non-existent defect of financial capital and help realize tourism livelihood. Thirdly, when human capital is lacking, farm households in ethnic villages with information capacity can make up for the absence of human capital by combining natural capital, financial capital and social capital to help realize tourism livelihood.

Domestic violence against women during COVID-19 pandemic and its associated factors among Bench Sheko zone, southwest Ethiopia

PurposeDomestic violence is an intimate relationship that causes physical, sexual or mental suffering. The ongoing coronavirus pandemic has had a ruinous effect globally, particularly in increasing the rate of domestic violence. Thus, this study aims to assess the prevalence of domestic violence against women during the COVID-19 pandemic and its associated factors.Design/methodology/approachA community-based cross-sectional study was conducted on Bench Sheko Zone residents from May to June 2021. Participants in the study were selected by multistage sampling technique. The collected data were coded, entered into EpiData 3.1 and analyzed by using SPSS version 20. Bi-variable and multiple logistic regression analysis models were fitted. Odds ratio was used at a 95% confidence level, and P-value < 0.05 was used to declare statistical significance.FindingsA total of 1,512 eligible women participated, with a 98.3% response rate. The proportion of domestic violence against women was 42.5%. The prevalence of psychological violence was 30.4%, followed by physical violence at 20.2% and sexual violence accounted for 9.6%. Variables, such as rural residency, women with no formal education, partner who had no formal education, women with monthly income of less than 25,00 Ethiopian birr and partner who was current substance user, were found to be associated with domestic violence against women.Practical implicationsDomestic violence against women is still an important public health problem in Ethiopia. Special attention should be paid to identified predictors to reduce domestic violence beyond designing prevention and control strategies along with coronavirus pandemic intervention plan.Originality/valueThe findings of this study show domestic violence against women is still an important public health problem in Ethiopia. Special attention should be paid to identified predictors to reduce domestic violence beyond designing prevention and control strategies, along with the coronavirus pandemic intervention plan.

Predicting financial distress in Latin American companies: A comparative analysis of logistic regression and random forest models

Latin America represents a growing financial market. The performance of its private sector corporations is critical, as inadequate performance and financial distress can lead to significant losses for many stakeholders. This study assesses the efficacy of Logistic Regression (LR) and Random Forest (RF) techniques in predicting corporate distress up to three years in advance. Additionally, we discuss relevant indicators and compare our findings in two different scenarios (pre versus pandemic period). The results indicate that RF outperforms LR in terms of predictive power and error levels. The most effective predictors remained consistent over the 20-year period but varied between the two models. Importantly, the performance levels remained unaffected by the COVID-19 pandemic.

Depression and its associated factors among community dweller older adults in Gondar town, Northwest Ethiopia: A cross-sectional study.

Background : Depression is one of the most frequent mental health disorders in the world among the elderly, and it is a serious public health concern because it affects so many people. The global rise in the aging population has sparked concerns about the mental well-being of older individuals. Most studies on mental disorders among older people have been conducted in high-income countries, with similar studies less common in developing countries. This study aimed to determine the prevalence and associated factors of depression among community-dweller older adults living in Gondar town, Northwest Ethiopia. Method : A community-based cross-sectional study was conducted in Gondar town. Depression was measure by Geriatric Depression Scale-15. Eight hundred and twentyfive community dweller older adults were participated in this study. A multistage sampling technique was used to select the study participants. Statistical Package of Social Science version 25 software was used to analyze the data. In the multivariable logistic regression analysis model, adjusted OR (AOR) with a 95% CI and p value&lt;0.05 were used to identify the associated factors with depression. Results : The prevalence of depression was 53.4% (95% CI: 49.8, 57.0). Being female (AOR: 5.758, 95% CI: 1.078–30.765), having an elderly occupation like a housewife (AOR: 4.174, 95% CI: 1.539–11.319), and being retired (AOR: 2.532, 95% CI: 1.104-5.806). Older adults perceived poor social support (AOR: 11.3785, 95% CI: 0.01-25.835), moderate social support (AOR: 2.966, 95% CI: 1.454-6.051), and physical inactivity (AOR: 12.042, 95% CI: 1.580-31.959) as strongly associated with depression. Conclusion : The prevalence of depression in Gondar town was high. Being female, divorce, housewives, retirees, poor social support, and low physical activity were significantly associated with depression. Depressive symptoms among the elderly must be diagnosed earlier, and proper treatment should be given to increase quality of life and prevent mental health disorders.

Impact of sand media continuous drying and rewetting cyclic on nutrients transformation performance from reclaimed wastewater effluent at soil aquifer treatment

Reusing reclaimed wastewater became a practical resource for water utilization in groundwater recharge and irrigation activities. However, the quality of reclaimed wastewater needs improvement to meet the environmental regulations and reduce contamination risks. A laboratory-scale study simulated a soil aquifer treatment (SAT) system, exploring the synergistic effects of wet and dry cycles alongside key physicochemical parameters on pollutant removal efficiency using a glass column filled with quartz sand as the filtration medium. The investigation focused on the cyclic wetting and drying phases to unravel their impact on removing NH4+, NO3−, and PO43−. The synthetic wastewater introduced into the system exhibited varying pollutant concentrations during wet and dry periods, influenced by dynamic soil water content (WC%), pH, dissolved oxygen (DO), and oxidation–reduction potential (ORP). The high removal rates of 93% for PO43− and 43% for Total N2 demonstrate the system’s capability to reduce concentrations significantly under dynamic alternating between wet and dry conditions. Results unveiled that the wet period consistently yielded higher removal rates for N2 species. Interestingly, for PO43−, the dry periods demonstrated a higher removal efficiency. Moreover, the study identified an average NO3− production during the experimental phases as a byproduct of nitrification. The average NO3− production in wet periods was 2.5 mg/L, whereas it slightly decreased to 2.2 mg/L in dry periods. These findings underscore the nuanced influence of wet and dry conditions on specific pollutants within SAT systems. Applying the logistic regression model and principal component analysis demonstrated the statistical significance of WC, pH, DO, and ORP in predicting wet/dry conditions, providing quantitative insights into their influential roles on the nutrient dynamic concentrations. This study contributes valuable data to our understanding of SAT systems, offering practical implications for designing and implementing sustainable wastewater treatment practices and pollution management across diverse environmental contexts.

Psycho-social predictors of motivation for treatment in patients with mental disorders: the role of adverse childhood experiences and internalized stigma.

IntroductionMotivation for treatment is an important socio-psychological characteristic of patients, which is subject to the joint influence of various factors, each of which may require specific rehabilitation interventions.ObjectivesTo analyze and evaluate the cumulative influence of adverse childhood experiences (ACE), internal stigma, social characteristics on the intensity of treatment motivation in patients with mental disorders.Methods 102 patients with mental disorders were examined using Adverse Childhood Experience Questionnaire (ACEQ), Russian-language validated Internalized Stigma of Mental Illness (ISMI) scale and Treatment Motivation Assessment Questionnaire (TMAQ).Results As a result of regression analysis (table 1), a model was obtained that predicted an increase in the chances of high patient’s motivation for treatment with an increase in the total score of ACEs (ACEQ total score) and with higher education. The overall severity of internal stigma (ISMI total score) did not show a significant effect on the chances of developing intense motivation in patients. Table 1.Model of logistic regression analysis of educational, ACE total score and ISMI total score with the severity of motivation for treatment.PredictorBSEpExp (B)95% confidence interval for EXP(B)Secondary education1,1200,6990,1093,0650,778-12,074Higher education1,9720,775,0117,1891,574-32,834ISMI total score-0,4350,7730,5740,6470,142-2,946ACEQ total score0,3460,1470,0191,4141,060-1,886After post data analysis (table 2), a cut-off point was established for the ACEQ total score of 4 points, corresponding to an increased chances of high patient’s treatment motivation. Table 2.Results of the test ROC analysis for ACEQ total score and the severity of motivation for treatment.CutpointSensitivity (%)Specificity (%)Youden’s indexAUC364.71%53.57%0.1830.689450%75%0.2500.689538.24%85.71%0.2390.689ConclusionsACEs may likely be a source of posttraumatic growth in adulthood in patients with mental illness specially if their count amounts to 4 or more variants. The role of social and psychological characteristics of patients with mental disorders in the psychology of the treatment process should be considered systemically, rather than discretely.Disclosure of InterestNone Declared

The association between serum copper concentration and prevalence of diabetes among US adults with hypertension (NHANES 2011-2016).

The objective of this study was to examine the association between the serum copper concentration and the prevalence of diabetes among US adults with hypertension using the data from the National Health and Nutrition Examination Survey (NHANES). The study population was selected from adults aged over 20 years old in the three survey cycles of NHANES from 2011 to 2016. Logistic regression model analyses were applied to determine the independent risky effect of copper to the prevalence of diabetes. Also, a restricted cubic spline (RCS) model was performed to explore the potential nonlinear association between serum copper concentration and the prevalence of diabetes. A total of 1786 subjects (742 cases and 1044 controls) were included, and 924 were men (51.7%), and 742 (41.5%) were diabetic. Compared with non-diabetic individuals, the concentration of serum copper in diabetic patients with hypertension was higher. After adjusting for age, sex, race, education, marital status, body mass index (BMI), family poverty income ratio (PIR), smoking, alcohol drinking, physical activity, systolic blood pressure (SBP), diastolic blood pressure (DBP), and hyperlipidemia, the highest quartile of serum copper concentration significantly increased the risk of diabetes as compared with the lowest quartile (OR: 1.38, 95% CI: 1.01-1.92, ptrend = 0.036). The results of RCS analysis showed significant non-linear relationship between serum copper concentration and prevalence of diabetes (p-non-linear = 0.010). This study finds that serum copper concentration are significantly associated with risk of diabetes in hypertensive patients, which suggests copper as an important risk factor of diabetes development.

The dynamic changes of peripheral blood cell counts predict the clinical outcomes of aneurysmal subarachnoid hemorrhage

BackgroundAneurysmal subarachnoid hemorrhage (aSAH) is a serious type of hemorrhagic stroke. It is very important to predict the prognosis at early phase. In this work, we intend to characterize early changes in peripheral blood cells after aSAH and explore the association between peripheral blood cells and clinical outcomes after aSAH. MethodsaSAH patients admitted between December 2019 and September 2022 were enrolled. A retrospective observational study was performed. Total leukocytes, monocytes, neutrophils, erythrocytes, lymphocytes and platelets counts were recorded on the day of admission (day 1), day 3, day 5 and day 7. Statistical tests included Chi-square test, analysis of variance and multivariate logistic regression (MLR) models. 197 patients were analyzed. ResultsLeukocytes and neutrophils were higher in poor outcome groups from day 1 to day 7 and in delayed cerebral ischemia (DCI) groups from day 3 to day 7. Lymphocytes were higher at day 5 and day 7 in good outcome groups and no DCI groups. Neutrophil-to-lymphocyte ratio (NLR) was lower from day 3 to day 7 in good outcome groups and no DCI groups. Erythrocytes were higher from day 3 to day 7 in good outcome groups and no DCI groups. Lymphocytes were negatively related to poor outcomes on day 1 (OR = 0.457), indicating higher lymphocytes predicted good outcomes, Neutrophils were positively related to poor outcomes on day 3 (OR = 3.003) indicating higher neutrophils predicted poor outcomes. Lymphocytes were negatively related to DCI on day 5 (OR = 0.388) indicating higher lymphocytes predicted no DCI, Erythrocytes were negatively related to DCI on day 5 (OR = 0.335) and day 7 (OR = 0.204) indicating higher erythrocytes predicted no DCI. The improved ability of neutrophils, lymphocytes and erythrocytes to predict DCI or poor functional outcomes were revealed by ROC curve analysis. ConclusionsThe dynamic changes of peripheral blood cell counts were related to poor functional outcomes and DCI after aSAH. Elevated neutrophils, leukocytes, NLR, and decreased lymphocytes, erythrocytes were accompanied by DCI and poor outcome. Neutrophils, lymphocytes and erythrocytes counts could be beneficial to predict DCI and outcomes after aSAH.

Association between serum α-Klotho levels and osteoarthritis prevalence among middle-aged and older adults: an analysis of the NHANES 2007–2016

BackgroundAs individuals age, the prevalence of osteoarthritis tends to increase gradually. α-Klotho is a hormone renowned for its anti-aging properties. However, the precise role of serum α-Klotho in osteoarthritis is still not fully comprehended. MethodsWe conducted a cross-sectional study utilizing data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2007 to 2016. Serum α-Klotho levels were measured using an enzyme-linked immunosorbent assay (ELISA). Osteoarthritis was assessed through self-reported questionnaires. Through univariate and multivariate logistic regression analyses, smooth curve fitting, threshold effect analysis, and subgroup analyses, we delved into the potential association between them. ResultsThe study encompassed a cohort of 10,265 participants. In fully adjusted models of multivariate logistic regression analysis, we identified a negative correlation between serum ln α-Klotho and OA (OR = 0.77, 95% CI: 0.65−0.91, p = 0.003). When stratifying serum α-Klotho levels into tertiles, individuals in the highest tertile exhibited a 26% reduced risk of OA compared to those in the lowest tertile (OR = 0.84, 95% CI: 0.73−0.97, p = 0.014). Subsequent analyses indicated a linearly negative association. In subgroup analyses, we explored the relationship between serum ln α-Klotho and osteoarthritis across diverse populations, revealing the persistence of this association in the majority of subgroups. ConclusionSerum α-Klotho levels exhibit a significant negative linear correlation with the prevalence of osteoarthritis in middle-aged and elderly populations in the United States.