Socio-Demographic Factors, Clinical Characteristics and Maternal Prognosis of Hypertensive Disorders in Pregnancy at Panzi General Referral Hospital

Background: Hypertensive disease in pregnancy is an important cause of morbidity, long-term disability, and maternal and neonatal mortality. The aim is to determine the socio-demographic characteristics and maternal prognosis of these women with Hypertension during pregnancy. Material and Method: We conducted a cross-sectional study, we interview patients and after discussion we transcripts in a database in Excel software before analysis with SPSS version 20.0 and Stata 14.0 The qualitative variables have been summarised by the Percentage and the quantitative variables will be summarised by Means and Standard Deviation. The associations of the variables were calculated by Pearson’s chi-square test with a significance level set at a p-value Result: The average age of the patients was 30.33 ± 7.020 years, 92.1% were married, 79.8% lived in urban areas, most of the patients were overweight (43%), 92.1% of them had monofetal pregnancies, 36% were multiparous, 34.2% had a previous history of preeclampsia in pregnancy and 14% were known to have hypertension. Pre-eclampsia was the most frequent form of hypertension in pregnancy with 73.68% of cases and represents 84.8% of severe forms of hypertension in pregnancy, 53.4% of the patients delivered vaginally. Eclampsia was the most frequent complication in our patients with 31.7% frequency and among the socio-demographic parameters, age and body mass index were significantly associated with maternal complications. Conclusion: Maternal age and body mass index are important socio-demographic factors associated with the occurrence of maternal complications in women with hypertensive disorders in pregnancy.

Socio-Demographic Factors Associated with Obesity among Adolescents in Secondary School in Onitsha, South East Nigeria

Background: The prevalence of obesity among adolescent has been on the increase worldwide. This is probably a result of increase in the sedentary life style and the increasing shift to western diet. Obesity in children and adolescents has adverse consequences. These include increase in the rate of Diabetes Mellitus, hypertension, dyslipidemia, cardiovascular diseases, etc with resultant increase in premature deaths. Objectives: To determine the socio-demographic and behavioral factors associated with overweight and obesity in apparently healthy secondary school adolescents. Methods: This was a cross-sectional study of secondary school adolescents aged 10 - 19 years randomly selected from two public schools and three private schools. The weight and heights of study subjects were measured using standard equipment. Body mass index (BMI) was appropriately calculated and the WHO growth reference standard for age and gender, specific percentile for BMI was used to define overweight 85th to 97th and obese (97th percentile and above). Results: Data were initially collected from 1250 participants, but 52 were excluded due to improperly completed questionnaires. Thus, a total of 1198 students were ultimately included in the study, giving a response rate of 95.8%. These included 621 females (51.8%) and 577 males (48.2%) aged 10 - 19 years giving a F:M ratio of 1:0.9. The mean age of the students was 15.07 ± 1.96 years overall, 15.13 ± 2.08 years for males and 15.03 ± 1.83 years for females. There was no statistically significant difference between male and female in the distribution of age groups (p = 0.12). The mean BMI was 21.51 ± 3.57 kg/m2 for females and 20.22 ± 3.16 kg/m2 for males. The BMI was significantly higher in females in all age groups (p < 0.001) except those aged 10 - p = 0.13). The prevalence rates of overweight and obesity were higher in females than males (17.7% vs 10.7%, 5.6% vs 4.5% respectively;p ≤ 12 yrs;p = 0.04). The frequent consumption of sugar based beverages (p p p = 0.03) were significantly associated with both overweight and obesity (p p p < 0.001) were also significantly associated with obesity. Conclusion: Sociodemographic factors such as gender, socioeconomic status and behavioral patterns were major contributors to obesity. Behavioral interventions including regulating the intake of sugar based beverages and reducing the time spent on sedentary activities could be useful strategies in reducing the high prevalence of overweight and obesity among adolescents.

Typical Gastroesophageal Reflux Disease in the General Adult Population in Cotonou: Prevalence and Associated Socio-Demographic Factors

Introduction: Gastroesophageal Reflux Disease (GERD) is a common benign condition with a worldwide prevalence of between 5% and 45% in the adult population. Its prevalence in the general population is little known in Africa. The aim of this work was to study the prevalence of typical GERD in the general adult population of a large city and the associated socio-demographic factors. Patients and Methods: This was a prospectively collected, descriptive and analytical cross-sectional study that was conducted over a one-month period (June 2018). We included any person residing in the city of Cotonou for at least 6 months, aged 15 years or older, who had given consent for the study. The two-stage cluster sampling technique was used. The dependent variable was the typical gastroesophageal reflux defined by the heatburn-regurgitation association. Results: We had included 728 subjects. Of these, 255 had a typical GERD, i.e. a prevalence of 35%. The mean age of the respondents was 31.9 ± 13.2 years with extremes of 15 and 88 years. There were 379 men (52.1%) with a sex ratio of 1.08. The study population was represented respectively by artisans (29.3%), students (26.6%) and traders/dealers (20.3%). In terms of marital status, there were as many married and single subjects (48.2%). In addition, 47% of the study population had a body mass index of less than 25 kg/m2. In univariate analysis, the sociodemographic factors associated with typical GERD were: age (60 years and older): OR: 0.220 [95% CI 07 - 0.63], p = 0.005 and marital status divorced/separated/widowed: OR: 0.32 [0.11 - 0.97], p = 0.04. Older age and divorced/separated/widowed status appear to be protective of the occurrence of GERD. Conclusion: Typical GERD was common in the adult population of Cotonou. It readily affected young (under 60 years of age), single or married subjects.

Assessment of socio-demographic factors,health status and the knowledge on probiotic dairy products

The probiotic dairy products have become the fastest growing in functional foods market in response to the increasing numbers of consumers interested in improving their health.Therefore,data collected from 314 participants in the city of Bursa,Turkey,were analyzed with the aim to assess the socio-demographic characteristics and health status as well as the consumer’s knowledge and awareness of probiotic dairy products in order to gain a better understanding of consumers’attitudes.It was observed that sociodemographic characteristics of the participants were not significantly associated with the degree of knowledge or awareness and purchasing frequencies of probiotic dairy products.Having a higher educational level,higher income level and being a woman indicated an increased the awareness,knowledge and purchase probability of probiotic dairy products.This study emphasized that consumers should be more informed about the positive relationship between a healthier life and the consumption of probiotic dairy products.

Socio-demographic factors impact time to discharge following total knee arthroplasty

AIM To determine social, logistical and demographic factors that influence time to discharge in a short stay pathway(SSP) by following total knee arthroplasty(TKA). METHODS The study included primary TKA's performed in a highvolume arthroplasty center from January 2016 through December 2016. Potential variables associated with increased hospital length of stay(LOS) were obtained from patient medical records. These included age, gender, race, zip code, body mass index(BMI), number of pre-operative medications used, number of narcotic medications used, number of patient reported allergies(PRA), simultaneous bilateral surgery, tobacco use, marital status, living arrangements, distance traveled for surgery, employment history, surgical day of the week, procedure end time and whether the surgery was performed during a major holiday week. Multivariate step-wise regression determined the impact of social, logistical and demographic factors on LOS. RESULTS Eight hundred and six consecutive primary SSP TKA's were included in this study. Patients were discharged at a median of 49 h(post-operative day two). The following factors increased LOS: Simultaneous bilateral TKA [46.1 h longer(P < 0.001)], female gender [4.3 h longer(P = 0.012)], age [3.5 h longer per ten-year increase in age(P < 0.001)], patient-reported allergies [1.1 h longer per allergy reported(P = 0.005)], later procedure endtimes [0.8 h longer per hour increase in end-time(P = 0.004)] and Black or African American patients [6.1 h longer(P = 0.047)]. Decreased LOS was found in married patients [4.8 h shorter(P = 0.011)] and TKA's performed during holiday weeks [9.4 h shorter(P = 0.011)]. Non-significant factors included: BMI, median income, patient's living arrangement, smoking status, number of medications taken, use of pre-operative pain medications, distance traveled to hospital, and the day of surgery. CONCLUSION The cost of TKA is dependent upon LOS, which is affected by multiple factors. The clinical care team should acknowledge socio-demographic factors to optimize LOS.

Socio-Demographic Factors and Their Correlation with the Severity of Major Depressive Disorder: A Population Based Study

Objective: Genetic and neurobiological factors are considered to be the major causes of major depressive disorder (MDD). However, over last few years study results revealed that socio-demographic factors contribute a significant role in abnormal functional activity and recognized as major causative factors to the pathogenesis and severity of MDD. The aim of this study was to assess the socio-demographic characteristics of Bangladeshi MDD patients and to discover their role on the severity of disease. Material and Methods: A retrospective review of the case notes of psychiatry outpatients at Bangabandhu Sheikh Mujib Medical University (BSMMU) was carried out between Sep-Nov 2016. A total of 234 MDD patients (aged 18 to 60 years) were randomly recruited. Relevant information was obtained by collection of prescription details from the patients or their relatives by face to face interview. Results: Mean age and body mass index (BMI) were found 34.734 years (SEM ± 0.842) and 22.014 kg/m2 respectively. Among all respondents, 56% (133) were male and 44% (106) were female where mean income was 26.84 KBDT (Kilo Bangladeshi Taka) (SEM ± 0.749). Roughly 46% (111) patients were found to be below secondary level of education. Married people (56%) had a tendency to develop depression compare to unmarried people (36%). Urban residents (64%) are more prone to suffer from depression than rural residents (36%). There was mild depression in 28% (68), moderate in 37% (157), and severe in 14% (34) patients. Correlation analysis shows that age, sex, marital status, education, family income, and area of residence (p-values 0.004, 0.001, 0.000, 0.011, 0.000 and 0.000, respectively) are associated with the severity of disease. Moreover, among all significant correlations age, marital status and area of residence were positively correlated with the severity of MDD (r = 0.184, r = 0.238 and r = 0.256) while sex, education and family income were negatively correlated with the severity of depression (r = ﹣0.207, r = ﹣0.164 and r = ﹣0.722). Conclusion: Current study shows that age, gender, marital status, education, family income, and area of residence are associated with the severity of depression. Age, marital status and residence of MDD patients are positively correlated with the severity of disease while gender, education and family income are negatively correlated with the severity of depression. It is predicted that this study will be helpful for the management and assortment of MDD patients with more accuracy based on their socio-demographic features.

Association between Socio-Demographic Factors and Blood Sugar Levels in Type 2 Diabetes Mellitus Patients in Bangladesh

Background: The aim of the current study was to evaluate the anthropometric and demographic factors and their correlation with type 2 diabetes mellitus (T2DM) in Bangladesh. Methods: One hundred fourteen patients (70 males and 44 females) between 30 and 75 years of age from various areas of Bangladesh were screened for T2DM. Fasting blood sugar (FBS) was analyzed by using laboratory kits and spectrophotometric technique. Anthropometric and socio-demographic data were collected using a structured questionnaire. Body mass index (BMI) was calculated from weight (kg) and height (m) of the individual respondents. Physical activity was categorized based on activity during daily work. Economic condition is defined by respective family income and education level is categorized into 3 levels: illiterate, 0 - 12 years of education and graduate or above. Results: According to the current study results, half of the patients were from the middle-class family with low physical activity and their age was within the range of 30 - 45 years. The male and female ratio of the study population was 60:40. Most of the patients were found to be obese and educated. Urban populations were more prone to have DM than the rural population. Age, education, the area of residence (urban and rural), physical activity and co-morbid diseases were significantly correlated with T2DM in Bangladesh (P Conclusion: Our study shows that different socio-demographic factors have a significant correlation with T2DM in Bangladesh. Diabetes awareness, early diagnosis, patient education and life-style modification can be initiated to manage T2DM efficiently.

Functional Constipation in the General Population in Cotonou:Prevalence and Associated Socio-Demographic Factors

Background: Constipation is considered rare in sub-Saharan Africa because of the high fiber content of the local diet. However, certain factors could intervene in this pathology. The purpose of this study was to assess the prevalence of constipation in the general population in Cotonou and to determine the associated socio-demographic factors. Methods: This was a cross-sectional descriptive and analytical study conducted from July to August 2017 in 7 districts of the township of Cotonou, according to a cluster sampling. We included anyone over the age of 15 living in the city of Cotonou for at least 6 months. Constipation was either self-reported or functional (meeting the Rome IV criteria). Results: A total of 1058 participants were included: 574 men (sex ratio of 1.2), mean age of 29 years [range 15 - 92]. Self-reported constipation was noted in 512 patients (48.5%). It was functional in 256 cases (24.2%). In the latter category, there was a predominance of women (138, 53.9%), of secondary education (46.5%), of self-employed professionals (50.4%), from the Ouémé-Plateau (41.8%). Were associated with the occurrence of functional constipation (univariate analysis), age ≥ 60 years (p = 0.049), female gender (p = 0.003), and subjects living alone (166, 64.8%) vs. those living in a relationship (90, 35.2%, p = 0.001). Conclusion: Constipation was not as rare in Cotonou. It was more common in women, subjects over 60 years old or living alone.

Socio-Demographic Factors Associated with Psychoactive Substance Use among Commercial Motorcycle Operators in Kano, Nigeria

Background: Psychoactive substance use was common among commercial motorcycle operators. Studies had shown that there were some socio-demographic factors which were commoner among commercial motorcycle operators who used psychoactive substances. However, this was not explored among commercial motorcycle operators in Kano, North Western Nigeria. Aim: The aim of the study was to determine the socio-demographic factors associated with psychoactive substance use among motorcycle operators in Kano, Northwestern Nigeria. Methods: It was a cross-sectional study. Instrument used for data collection included socio-demographic questionnaire and World Health Organisation Student Drug Use Questionnaire. Data analysis was done using Statistical Package for Social Sciences (SPSS) 16th edition. Results: Commercial motorcycle operators who used substances were found to be of younger age group (X2 = 10.9, P < 0.001), single (X2 = 4.3, P = 0.034) and had a father who used tobacco (X2 = 4.28, P = 0.04). Participants who were single were more likely to use inhalants (X2 = 21.06, P =0.001), opiates (X2 = 11.82, P = 0.012), cannabis (X2 = 5.12, P = 0.028) and stimulants (X2 = 5.12, P = 0.028) compared to those who were married. Conclusion: This study found that being of younger age, being single, and having a father who smoked were significantly associated with psychoactive substance use. Participants who were singles were more likely to use inhalants, opiates, cannabis and stimulants. No relationship was observed between the age of the respondents and specific substance use. Legislations should be enacted to reduce the rate of psychoactive substance use among motorcycle operators and general population at large.

Socio-Demographic and Economic Factors Associated with Uptake of COVID-19 Vaccine among Pregnant Women at Pumwani Maternity Hospital in Nairobi County, Kenya

Introduction: Pregnant women are a highly vulnerable population for COVID-19 with increased risk of hospitalization, intensive-care unit admission, invasive ventilation support, and mortality. Objective: This study determined the socio-demographic and economic factors associated with the uptake of COVID-19 vaccine among pregnant women utilizing antenatal care services in Pumwani Maternity Hospital, Nairobi County-Kenya. Methods: The study was carried out from 15 June to 23 July 2023. Systematic sampling was used to select 302 women from whom data was collected through face-to-face interviews using a pre-tested semi-structured questionnaire. Data was analyzed using SPSS software in which bivariate and multivariate logistic regression analyses were done at a significance level of p Results: A total of 302 pregnant women participated in the study. Of these, 105 (34.8%) were aged between twenty-six (26) and thirty (30) years. The mean age of the women was 28.60 ± (SD = 5.297). The uptake of the COVID-19 vaccine was 41.1%. The common side effects reported to be associated with the vaccines were fever, headache, joint pain, vomiting and skin rash. Uptake of the COVID-19 vaccine was significantly associated with being married (AOR = 3.65, 95% CI: 0.62 - 1.80, p = 0.001), having a secondary level of education (AOR = 3.78, 95% CI: 0.99 - 2.88, p = 0.001) and being employed (COR = 2.66, 95% CI: 1.31 - 3.06, p = 0.001). Conclusion: COVID-19 vaccination uptake remains low among pregnant women in seeking ANC in Nairobi. The individual factors associated with the uptake of COVID-19 vaccine among pregnant Women at Pumwani maternity hospital in Nairobi County were being married, having secondary level of education and being employed. Integration of the COVID-19 vaccine with other routine vaccinations as per the national immunization program in Kenya and the enhancement of education regarding the safety and efficacy of the COVID-19 vaccine in pregnancy and breastfeeding and economic empowerment of women are recommended.

Obstetric Emergencies: Frequency, Socio-Demographic Aspects and Risk Factors at the Labe Regional Hospital Maternity Unit (Guinea)

Introduction: Obstetric emergencies are clinical situations of a serious nature, often dangerous, which develop unexpectedly, threatening the vital prognosis of the mother and/or foetus in the short term. The aim of this study was to contribute to a review of obstetric emergencies at the Labé Regional Hospital maternity unit. Methods: This was a prospective descriptive and analytical study conducted over a period of 6 months in the maternity unit of the Labé Regional Hospital. It concerned all patients admitted to the department for obstetric emergencies. Results: Obstetric emergencies accounted for 20% of obstetric admissions. The mean age of the patients was 25.12 ± 7.15 years, with extremes of 14 and 45 years. The patients were housewives (42.52%), 42.86% did not attend school and 77.41% were from urban areas. The poor were the most numerous (43.52%). The ambulance was the means of transport in only 9% of cases. Acute foetal distress, pre-eclampsia, bony dystocia and post-partum haemorrhage were the most common types of emergency in our series, with frequencies of 27.57%, 22.59%, 17.94% and 10.63% respectively. The risk factors identified were age, origin, gestational age and the state of the maternal pelvis. Conclusion: Obstetric emergencies are frequent in our study site and represent a major concern for patients, providers and the community alike. In order to reduce the frequency of obstetric emergencies, young girls should be enrolled in school, the legal age for marriage should be respected, quality antenatal care should be provided in basic health facilities, and proper planning and spacing of pregnancies should be implemented.

Significant risk factors for intensive care unit-acquired weakness:A processing strategy based on repeated machine learning

BACKGROUND Intensive care unit-acquired weakness(ICU-AW)is a common complication that significantly impacts the patient's recovery process,even leading to adverse outcomes.Currently,there is a lack of effective preventive measures.AIM To identify significant risk factors for ICU-AW through iterative machine learning techniques and offer recommendations for its prevention and treatment.METHODS Patients were categorized into ICU-AW and non-ICU-AW groups on the 14th day post-ICU admission.Relevant data from the initial 14 d of ICU stay,such as age,comorbidities,sedative dosage,vasopressor dosage,duration of mechanical ventilation,length of ICU stay,and rehabilitation therapy,were gathered.The relationships between these variables and ICU-AW were examined.Utilizing iterative machine learning techniques,a multilayer perceptron neural network model was developed,and its predictive performance for ICU-AW was assessed using the receiver operating characteristic curve.RESULTS Within the ICU-AW group,age,duration of mechanical ventilation,lorazepam dosage,adrenaline dosage,and length of ICU stay were significantly higher than in the non-ICU-AW group.Additionally,sepsis,multiple organ dysfunction syndrome,hypoalbuminemia,acute heart failure,respiratory failure,acute kidney injury,anemia,stress-related gastrointestinal bleeding,shock,hypertension,coronary artery disease,malignant tumors,and rehabilitation therapy ratios were significantly higher in the ICU-AW group,demonstrating statistical significance.The most influential factors contributing to ICU-AW were identified as the length of ICU stay(100.0%)and the duration of mechanical ventilation(54.9%).The neural network model predicted ICU-AW with an area under the curve of 0.941,sensitivity of 92.2%,and specificity of 82.7%.CONCLUSION The main factors influencing ICU-AW are the length of ICU stay and the duration of mechanical ventilation.A primary preventive strategy,when feasible,involves minimizing both ICU stay and mechanical ventilation duration.

Biological factors driving colorectal cancer metastasis

Approximately 20%of colorectal cancer(CRC)patients present with metastasis at diagnosis.Among Stage I-III CRC patients who undergo surgical resection,18%typically suffer from distal metastasis within the first three years following initial treatment.The median survival duration after the diagnosis of metastatic CRC(mCRC)is only 9 mo.mCRC is traditionally considered to be an advanced stage malignancy or is thought to be caused by incomplete resection of tumor tissue,allowing cancer cells to spread from primary to distant organs;however,increa-sing evidence suggests that the mCRC process can begin early in tumor development.CRC patients present with high heterogeneity and diverse cancer phenotypes that are classified on the basis of molecular and morphological alterations.Different genomic and nongenomic events can induce subclone diversity,which leads to cancer and metastasis.Throughout the course of mCRC,metastatic cascades are associated with invasive cancer cell migration through the circulatory system,extravasation,distal seeding,dormancy,and reactivation,with each step requiring specific molecular functions.However,cancer cells presenting neoantigens can be recognized and eliminated by the immune system.In this review,we explain the biological factors that drive CRC metastasis,namely,genomic instability,epigenetic instability,the metastatic cascade,the cancer-immunity cycle,and external lifestyle factors.Despite remarkable progress in CRC research,the role of molecular classification in therapeutic intervention remains unclear.This review shows the driving factors of mCRC which may help in identifying potential candidate biomarkers that can improve the diagnosis and early detection of mCRC cases.

Prevalence and risk factors of diabetes mellitus among elderly patients in the Lugu community

BACKGROUND Age is a significant risk factor of diabetes mellitus(DM).With the develop of population aging,the incidence of DM remains increasing.Understanding the epidemiology of DM among elderly individuals in a certain area contributes to the DM interventions for the local elderly individuals with high risk of DM.AIM To explore the prevalence of DM among elderly individuals in the Lugu community and analyze the related risk factors to provide a valid scientific basis for the health management of elderly individuals.METHODS A total of 4816 elderly people who came to the community for physical examination were retrospectively analyzed.The prevalence of DM among the elderly was calculated.The individuals were divided into a DM group and a non-DM group according to the diagnosis of DM to compare the differences in diastolic blood pressure(DBP)and systolic blood pressure(SBP),fasting blood glucose,body mass index(BMI),waist-to-hip ratio(WHR)and incidence of hypertension(HT),coronary heart disease(CHD),and chronic kidney disease(CKD).RESULTS DM was diagnosed in 32.70%of the 4816 elderly people.The BMI of the DM group(25.16±3.35)was greater than that of the non-DM group(24.61±3.78).The WHR was 0.90±0.04 in the non-DM group and 0.90±0.03 in the DM group,with no significant difference.The left SBP and SBP in the DM group were 137.9 mmHg±11.92 mmHg and 69.95 mmHg±7.75 mmHg,respectively,while they were 126.6 mmHg±12.44 mmHg and 71.15 mmHg±12.55 mmHg,respectively,in the non-DM group.These findings indicate higher SBP and lower DBP in DM patients than in those without DM.In the DM group,1274 patients were diagnosed with HT,accounting for 80.89%.Among the 3241 non-DM patients,1743(53.78%)were hypertensive and 1498(46.22%)were nonhypertensive.The DM group had more cases of HT than did the non-DM group.There were more patients with CHD or CKD in the DM group than in the non-DM group.There were more patients who drank alcohol more frequently(≥3 times)in the DM group than in the non-DM group.CONCLUSION Older adults in the Lugu community are at a greater risk of DM.In elderly individuals,DM is closely related to high BMI and HT,CHD,and CKD.Physical examinations should be actively carried out for elderly people to determine their BMI,SBP,DBP,and other signs,and sufficient attention should be given to abnormalities in the above signs before further diagnosis.

Analysis of the influencing factors and clinical related characteristics of pulmonary tuberculosis in patients with type 2 diabetes mellitus

BACKGROUND In China,the prevalence of type 2 diabetes mellitus(T2DM)among diabetic patients is estimated to be between 90%-95%.Additionally,China is among the 22 countries burdened by a high number of tuberculosis cases,with approximately 4.5 million individuals affected by active tuberculosis.Notably,T2DM poses a significant risk factor for the development of tuberculosis,as evidenced by the increased incidence of T2DM coexisting with pulmonary tuberculosis(T2DMPTB),which has risen from 19.3%to 24.1%.It is evident that these two diseases are intricately interconnected and mutually reinforcing in nature.AIM To elucidate the clinical features of individuals diagnosed with both T2DM and tuberculosis(T2DM-PTB),as well as to investigate the potential risk factors associated with active tuberculosis in patients with T2DM.METHODS T2DM-PTB patients who visited our hospital between January 2020 and January 2023 were selected as the observation group,Simple DM patients presenting to our hospital in the same period were the control group,Controls and case groups were matched 1:2 according to the principle of the same sex,age difference(±3)years and disease duration difference(±5)years,patients were investigated for general demographic characteristics,diabetes-related characteristics,body immune status,lifestyle and behavioral habits,univariate and multivariate analysis of the data using conditional logistic regression,calculate the odds ratio(OR)values and 95%CI of OR values.RESULTS A total of 315 study subjects were included in this study,including 105 subjects in the observation group and 210 subjects in the control group.Comparison of the results of both anthropometric and biochemical measures showed that the constitution index,systolic blood pressure,diastolic blood pressure and lymphocyte count were significantly lower in the case group,while fasting blood glucose and high-density lipoprotein cholesterol levels were significantly higher than those in the control group.The results of univariate analysis showed that poor glucose control,hypoproteinemia,lymphopenia,TB contact history,high infection,smoking and alcohol consumption were positively associated with PTB in T2DM patients;married,history of hypertension,treatment of oral hypoglycemic drugs plus insulin,overweight,obesity and regular exercise were negatively associated with PTB in T2DM patients.Results of multivariate stepwise regression analysis found lymphopenia(OR=17.75,95%CI:3.40-92.74),smoking(OR=12.25,95%CI:2.53-59.37),history of TB contact(OR=6.56,95%CI:1.23-35.03)and poor glycemic control(OR=3.37,95%CI:1.11-10.25)was associated with an increased risk of developing PTB in patients with T2DM,While being overweight(OR=0.23,95%CI:0.08-0.72)and obesity(OR=0.11,95%CI:0.02-0.72)was associated with a reduced risk of developing PTB in patients with T2DM.CONCLUSION T2DM-PTB patients are prone to worse glycemic control,higher infection frequency,and a higher proportion of people smoking,drinking alcohol,and lack of exercise.Lymphopenia,smoking,history of TB exposure,poor glycemic control were independent risk factors for T2DM-PTB,and overweight and obesity were associated with reduced risk of concurrent PTB in patients with T2DM.

Spatiotemporal deformation characteristics of Outang landslide and identification of triggering factors using data mining

Since the impoundment of Three Gorges Reservoir(TGR)in 2003,numerous slopes have experienced noticeable movement or destabilization owing to reservoir level changes and seasonal rainfall.One case is the Outang landslide,a large-scale and active landslide,on the south bank of the Yangtze River.The latest monitoring data and site investigations available are analyzed to establish spatial and temporal landslide deformation characteristics.Data mining technology,including the two-step clustering and Apriori algorithm,is then used to identify the dominant triggers of landslide movement.In the data mining process,the two-step clustering method clusters the candidate triggers and displacement rate into several groups,and the Apriori algorithm generates correlation criteria for the cause-and-effect.The analysis considers multiple locations of the landslide and incorporates two types of time scales:longterm deformation on a monthly basis and short-term deformation on a daily basis.This analysis shows that the deformations of the Outang landslide are driven by both rainfall and reservoir water while its deformation varies spatiotemporally mainly due to the difference in local responses to hydrological factors.The data mining results reveal different dominant triggering factors depending on the monitoring frequency:the monthly and bi-monthly cumulative rainfall control the monthly deformation,and the 10-d cumulative rainfall and the 5-d cumulative drop of water level in the reservoir dominate the daily deformation of the landslide.It is concluded that the spatiotemporal deformation pattern and data mining rules associated with precipitation and reservoir water level have the potential to be broadly implemented for improving landslide prevention and control in the dam reservoirs and other landslideprone areas.

Spatial-temporal differentiation and influencing factors of rural settlements in mountainous areas: an example of Liangshan Yi Autonomous Prefecture, Southwestern China

Rural settlement is the basic spatial unit for compact communities in rural area. Scientific exploration of spatial-temporal differentiation and its influencing factors is the premise of spatial layout rationalization. Based on land use data of Liangshan Yi Autonomous Prefecture(hereinafter referred to as Liangshan Prefecture) in Sichuan Province, China from 1980 to 2020, compactness index, fractal dimension, imbalance index, location entropy and the optimal parameters-based geographical detector(OPGD) model are used to analyze the spatial-temporal evolution of the morphological characteristics of rural settlements, and to explore the influence of natural geographical factors, socioeconomic factors, and policy factors on the spatial differentiation of rural settlements. The results show that:(1) From 1980 to 2020, the rural settlements area in Liangshan Prefecture increased by 15.96 km^(2). In space, the rural settlements are generally distributed in a local aggregation, dense in the middle and sparse around the periphery. In 2015, the spatial density and expansion index of rural settlements reached the peak.(2) From 1980 to 2020, the compactness index decreased from 0.7636 to 0.7496, the fractal dimension increased from 1.0283 to 1.0314, and the fragmentation index decreased from 0.1183 to 0.1047. The spatial morphological structure of rural settlements tended to be loose, the shape contour tended to be complex, the degree of fragmentation decreased, and the spatial distribution was significantly imbalanced.(3) The results of OPGD detection in 2015 show that the influence of each factor is slope(0.2371) > traffic accessibility(0.2098) > population(0.1403) > regional GDP(0.1325) > elevation(0.0987) > poverty alleviation(0). The results of OPGD detection in 2020 show that the influence of each factor is slope(0.2339) > traffic accessibility(0.2198) > population(0.1432) > regional GDP(0.1219) > poverty alleviation(0.0992) > elevation(0.093). Natural geographical factors(slope and elevation) are the basic factors affecting the spatial distribution of rural settlements, and rural settlements are widely distributed in the river valley plain and the second half mountain area. Socioeconomic factors(traffic accessibility, population, and regional GDP) have a greater impact on the spatial distribution of rural settlements, which is an important factor affecting the spatial distribution of rural settlements. Policy factors such as poverty alleviation relocation have an indispensable impact on the spatial distribution of rural settlements. The research results can provide decisionmaking basis for the spatial arrangement of rural settlements in Liangshan Prefecture, and optimize the implementation of rural revitalization policies.

Incidence and risk factors of depression in patients with metabolic syndrome

BACKGROUND Many studies have explored the relationship between depression and metabolic syndrome(MetS),especially in older people.China has entered an aging society.However,there are still few studies on the elderly in Chinese communities.AIM To investigate the incidence and risk factors of depression in MetS patients in China's Mainland and to construct a predictive model.METHODS Data from four waves of the China Health and Retirement Longitudinal Study were selected,and middle-aged and elderly patients with MetS(n=2533)were included based on the first wave.According to the center for epidemiological survey-depression scale(CESD),participants with MetS were divided into depression(n=938)and non-depression groups(n=1595),and factors related to depression were screened out.Subsequently,the 2-,4-,and 7-year follow-up data were analyzed,and a prediction model for depression in MetS patients was constructed.RESULTS The prevalence of depression in middle-aged and elderly patients with MetS was 37.02%.The prevalence of depression at the 2-,4-,and 7-year follow-up was 29.55%,34.53%,and 38.15%,respectively.The prediction model,constructed using baseline CESD and Physical Self-Maintenance Scale scores,average sleep duration,number of chronic diseases,age,and weight had a good predictive effect on the risk of depression in MetS patients at the 2-year follow-up(area under the curve=0.775,95%confidence interval:0.750-0.800,P<0.001),with a sensitivity of 68%and a specificity of 74%.CONCLUSION The prevalence of depression in middle-aged and elderly patients with MetS has increased over time.The early identification of and intervention for depressive symptoms requires greater attention in MetS patients.

Adolescent suicide risk factors and the integration of socialemotional skills in school-based prevention programs

Adolescents are considered one of the most vulnerable groups affected by suicide.Rapid changes in adolescents’physical and mental states,as well as in their lives,significantly and undeniably increase the risk of suicide.Psychological,social,family,individual,and environmental factors are important risk factors for suicidal behavior among teenagers and may contribute to suicide risk through various direct,indirect,or combined pathways.Social-emotional learning is considered a powerful intervention measure for addressing the crisis of adolescent suicide.When deliberately cultivated,fostered,and enhanced,selfawareness,self-management,social awareness,interpersonal skills,and responsible decision-making,as the five core competencies of social-emotional learning,can be used to effectively target various risk factors for adolescent suicide and provide necessary mental and interpersonal support.Among numerous suicide intervention methods,school-based interventions based on social-emotional competence have shown great potential in preventing and addressing suicide risk factors in adolescents.The characteristics of school-based interventions based on social-emotional competence,including their appropriateness,necessity,cost-effectiveness,comprehensiveness,and effectiveness,make these interventions an important means of addressing the crisis of adolescent suicide.To further determine the potential of school-based interventions based on social-emotional competence and better address the issue of adolescent suicide,additional financial support should be provided,the combination of socialemotional learning and other suicide prevention programs within schools should be fully leveraged,and cooperation between schools and families,society,and other environments should be maximized.These efforts should be considered future research directions.

Assessment of Dependent Performance Shaping Factors in SPAR-H Based on Pearson Correlation Coefficient

With the improvement of equipment reliability,human factors have become the most uncertain part in the system.The standardized Plant Analysis of Risk-Human Reliability Analysis(SPAR-H)method is a reliable method in the field of human reliability analysis(HRA)to evaluate human reliability and assess risk in large complex systems.However,the classical SPAR-H method does not consider the dependencies among performance shaping factors(PSFs),whichmay cause overestimation or underestimation of the risk of the actual situation.To address this issue,this paper proposes a new method to deal with the dependencies among PSFs in SPAR-H based on the Pearson correlation coefficient.First,the dependence between every two PSFs is measured by the Pearson correlation coefficient.Second,the weights of the PSFs are obtained by considering the total dependence degree.Finally,PSFs’multipliers are modified based on the weights of corresponding PSFs,and then used in the calculating of human error probability(HEP).A case study is used to illustrate the procedure and effectiveness of the proposed method.