Abstract 3306: Effect Of General Obesity On Neurological Deterioration After Acute Stroke

Objective: The increasing prevalence of obesity in Asia has led to concern that obesity negatively affects outcomes after acute cardiovascular events and stroke. Here, we examined the relationship between body mass index (BMI), as a general indicator of obesity, and neurological deterioration after acute stroke. Patients and Methods: Consecutive acute stroke patients (n=2310: 489 hemorrhagic stroke, 1702 ischemic stroke, 119 TIA; median age 73.0; 1392 male) participated in this study. All patients were admitted within 7 days of stroke onset to a regional brain attack center in Japan between January 2005 and December 2010, and provided written informed consent. Patient attributes (age; sex; current smoking and/or drinking status; past history of stroke, hypertension, diabetes mellitus, and hypercholesterolemia; and body weight and height) were recorded upon admission; BMI was calculated using the height and weight measurements. Patients whose NIHSS score increased by 4 or more from admission to discharge or who died during hospitalization were classified into the neurological deterioration group; all other patients were classified into the non-deterioration group. Logistic regression analysis was performed using the deterioration and non-deterioration groups as dependent variables, and factors related to deterioration were examined using SPSS version 15.0. Results: The deterioration group comprised 221 patients, and had a higher proportion of patients with hypertension and/or diabetes mellitus and age over 75 years, but these patients had significantly lower BMI values than the 2089 patients in the non-deterioration group (22.4 ± 4.2 kg/m 2 vs. 23.2 ± 3.5, p=0.002). No intergroup differences were observed for history of stroke, smoking and/or drinking status, or hypercholesterolemia. Logistic regression analysis of the patient attributes listed above indicated that age and history of hypertension (odds ratio=1.77 and 1.75, 95% CI: 1.24-2.52 and 1.07-2.85, respectively) were positively correlated with neurological deterioration; in contrast, a larger BMI was negatively correlated with neurological deterioration (odds ratio by 1 kg/m 2 increase in BMI=0.948, 95% CI: 0.899-0.999, p=0.04). Conclusion: Lower BMI at admission was positively correlated with neurological deterioration after acute stroke after adjusting for other cerebrovascular risk factors.

Download Full-text

SAT-564 Effectiveness of Treatment with Mineralocorticoid Receptor Antagonistsin Primary Aldosteronism

Journal of the Endocrine Society ◽

10.1210/jendso/bvaa046.1399 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

Author(s):

Yuta Tezuka ◽

Adina Turcu

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Primary Aldosteronism ◽

Odds Ratio ◽

Mineralocorticoid Receptor ◽

Beta Blockers ◽

Multiple Logistic Regression Analysis ◽

Multiple Logistic Regression ◽

Low Renin Hypertension

Abstract Background: Medical treatment with mineralocorticoid receptor antagonists (MRAs) is preferred for patients with primary aldosteronism (PA) who are not surgical candidates. Adequate mineralocorticoid receptor blockade, as suggested by renin elevation above suppression levels, has been associated with lower rates of cardiovascular and renal complications as compared with PA with sustained renin suppression. Objectives: To assess the timeline and rates of achieving target renin levels in patients with PA and low renin hypertension treated with MRAs. Patients and Methods: We conducted a retrospective cohort study of adult patients with hypertension who were treated with MRAs in an academic center between 2003-2019. Of these, we included patients who had suppressed renin at baseline, and repeated renin measurement(s) during MRAs therapy. Renin suppression was defined as plasma renin activity (PRA) 1.0 ng/mL/h or direct renin concentration (DRC) 8.0 pg/mL. We excluded patients with adrenal cancer, end-stage renal disease, exogenous glucocorticoids, and critically ill. Mann-Whitney test, Wilcoxon signed rank test, Chi-Square test and multiple logistic regression analysis were employed, as appropriate. Results: So far, 89 patients (45 men), median age 56 (range, 19-84), have been included. Of these, 46% had confirmed PA; 25% had positive PA screening, but no confirmatory tests; and 29% had other forms of low-renin hypertension. On average, patients were on 2.9 1.6 antihypertensive agents; 62% of patients were prescribed beta blockers, and 38% were on K+ supplements. Overall, renin (PRA in 69 cases, and DRC in 20 cases) increased after MRA treatment (from 0.40 [0.10, 0.60] ng/mL/h to 1.10 [0.60, 2.23] ng/mL/h; and from 2.1 [2.1, 3.7] pg/mL to 5.7 [2.9, 16.7] pg/mL, respectively, p<0.0001 for both). The cumulative proportions of patients in whom renin reached target levels during MRA treatment were: 25% at 2 weeks; 38.9% at 1 month; 34.2% at 3 months; 39.5% at 6 months; and 47.2% at 1 year. Age, sex, race, blood pressure, use of beta blockers, renal function, serum K+ and aldosterone concentrations were similar between patients with target vs. suppressed renin. Multiple logistic regression analysis suggested that after adjusting for age and sex, higher MRA dose and higher BMI were associated with higher likelihood of achieving target renin during MRA therapy (odds ratio (95%CI): 1.021 (1.001-1.041) and 1.097 (1.008-1.193), respectively, p<0.05 for both); conversely, beta blockers use tended to be less often associated with target renin (odds ratio, 0.37 (0.13-1.008), p=0.052). Conclusion: Although raising renin above suppression levels is important for reducing the cardiovascular risk associated with PA, this goal is achieved in less than half of patients, even after one year of treatment with MRAs, in an academic setting. Strategies for optimizing PA treatment are critically needed.

Download Full-text

Factors associated with depression in the patients with diabetes mellitus type 2

Vojnosanitetski pregled ◽

10.2298/vsp170328029s ◽

2019 ◽

Vol 76 (11) ◽

pp. 1178-1183 ◽

Cited By ~ 1

Author(s):

Admir Sabanovic ◽

Natasa Maksimovic ◽

Mirjana Stojanovic-Tasic ◽

Marijan Bakic ◽

Anita Grgurevic

Keyword(s):

Diabetes Mellitus ◽

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Diabetes Mellitus Type 2 ◽

Multivariate Logistic Regression Analysis ◽

Multivariate Logistic Regression ◽

Factors Associated

Background/Aim. The assessment of association of depression and diabetes mellitus type 2 using the Patient Health Questionaire (PHQ-9) has not been done in Montenegro. The aim of this study was to assess the prevalence of depression in the patients with type 2 diabetes mellitus, and to identify the risk factors associated with the presence of depression. Methods. A cross-sectional study was conducted at the General Hospital in Bijelo Polje, from July to September, 2015. It included 70 patients over 35 years of age with the diagnosis of diabetes for at least six months. For the assessment of depression presence and intensity PHQ?9 was used. All variables associated with the presence of depression at a significance level of p < 0.05 were included into the final method of the multivariate logistic regression analysis. Results. Comorbidities were statistically significant more frequent among patients with depression (?2 = 5.40; p = 0.020). Duration of diabetes over five years was significantly associated with depression (?2 = 12.48; p < 0.001). Depression occurred more frequently among physically inactive subjects (?2 = 10.74; p = 0.005). The presence of diabetic polyneuropathy (?2 = 6.04; p = 0.014) and cataract (?2 = 5.351; p = 0.021) were also significantly associated with depression. A multivariate logistic regression analysis showed that the duration of diabetes over five years and presence of cataract were independently associated with depression. Conclusion. The risk factors for depression among the subjects with diabetes were disease duration more than five years and the presence of cataract. Since depression is a serious disease and can be a risk factor for many chronic diseases, the best way of prevention is its early detection and treatment.

Download Full-text

Abstract TP21: Is Presence of Diabetes Mellitus a Key Prognostic Factor among Patients Receiving Endovascular Treatment for Acute Ischemic Stroke?

Stroke ◽

10.1161/str.48.suppl_1.tp21 ◽

2017 ◽

Vol 48 (suppl_1) ◽

Author(s):

Seong-Joon Lee ◽

Yang-Ha Hwang ◽

Ji Man Hong ◽

Jin Wook Choi ◽

Dong-Hun Kang ◽

...

Keyword(s):

Diabetes Mellitus ◽

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Acute Ischemic Stroke ◽

Logistic Regression Analysis ◽

Multiple Logistic Regression Analysis ◽

Univariate Analysis ◽

Intravenous Thrombolysis ◽

The Impact

Introduction: Given the recent positive endovascular therapy trials for acute ischemic stroke (AIS), this therapeutic strategy is now being increasingly incorporated into routine clinical practice. Identifying prognostic factors among AIS patients receiving endovascular revascularization treatments (ERT) in the real world could be important for clinicians and patients. While the impact of diabetes mellitus (DM) on IV thrombolytic outcomes after AIS has been extensively investigated, there is a paucity of data assessing effects of DM on ERT outcomes after AIS. We evaluated the impact of comorbid DM on ERT for AIS. Methods: From Jan 2011 to Feb 2016, patients with AIS who underwent ERT for cervicocephalic occlusions were consecutively enrolled into the Acute Stroke due to Intracranial Atherosclerotic occlusion and Neurointervention - Korean Retrospective (ASIAN KR) registry from 3 hospitals. Patients were excluded if onset to puncture time over 8 hours, in-hospital stroke, or unavailable 3-month mRS. DM was diagnosed if a patient had the history, or hemoglobin A1c on admission was over 6.5. Univariate analysis was performed to compare the characteristics between DM and non-DM population. Multiple logistic regression analysis was used to validate the effect of comorbid DM on 3 month outcomes. Results: Of 721 patients, 667 (93%) were finally included, with 233 DM patients and 434 non-DM patients. In the univariate analysis, comorbidity with hypertension (71.2% vs. 58.3%, p=0.001) and dyslipidemia (36.7% vs. 26.7%, p=0.012) were more frequent in the DM population. Periprocedural factors such as target vessels, intravenous thrombolysis, and final reperfusion grades did not differ. Good outcomes with mRS 0-2 were less frequent in the DM population (43.3% vs. 53.7%, p=0.011). In the logistic regression analysis adjusting age, male sex, initial NIHSS, premorbid mRS, hypertension history, atrial fibrillation, intravenous thrombolysis, onset to puncture time and successful reperfusion, DM was an independent predictor of poor outcomes (mRS 3-6; 1.933, 1.274-2.933, p=0.002). Conclusion: In patients receiving ERT for AIS due to cervicocephalic artery occlusions, the presence of DM as a comorbidity confers greater odds of a poor functional outcome.

Download Full-text

Clinical Factors Associated with the Diagnosis of Granulomatosis with Polyangiitis

Otolaryngology ◽

10.1177/0194599816685696 ◽

2017 ◽

Vol 156 (3) ◽

pp. 484-488 ◽

Cited By ~ 4

Author(s):

Erdem Eren ◽

Toygar Kalkan ◽

Seçil Arslanoğlu ◽

Mustafa Özmen ◽

Kazım Önal ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Nasal Mucosa ◽

Odds Ratio ◽

Granulomatosis With Polyangiitis ◽

Univariate Analysis ◽

Binary Logistic Regression ◽

Binary Logistic Regression Analysis ◽

Significant Difference ◽

History Of

Objective To determine the predictive value of nasal endoscopic findings and symptoms in the diagnosis of granulomatosis with polyangiitis (GPA). Study Design A cross-sectional study. Setting A tertiary university hospital. Subjects and Methods A total of 116 adults were enrolled in the study: 19 patients with GPA, 29 patients with other rheumatic diseases, and 68 healthy volunteers. All patients were examined with a flexible endoscope, and nasal endoscopic images were recorded and evaluated blindly. The medical history of each patient was taken by a physician blinded to the patient’s diagnosis. Results Univariate analysis indicated a statistically significant difference in rhinorrhea ( P = .002), postnasal drip ( P = .015), epistaxis ( P < .001), and saddle nose ( P = .017). However, binary logistic regression analysis demonstrated that only history of epistaxis ( P = .012; odds ratio, 5.6) was statistically significant in predicting GPA. Univariate analysis showed a statistically significant difference in nasal secretion ( P = .028), nasal septal perforation ( P < .017), nasal crusting ( P < .001), nasal adhesion ( P < .001), nasal granuloma ( P = .017), and hemorrhagic fragile nasal mucosa ( P < .001). A binary logistic regression analysis demonstrated that only hemorrhagic fragile nasal mucosa ( P < .001; odds ratio, 52.9) was a statistically significant predictor of GPA. Conclusions Given the results of this study, we believe that hemorrhagic fragile nasal mucosa and history of recurrent epistaxis may put patients at risk for GPA and should be investigated accordingly.

Download Full-text

Risk Factors for Silent Cerebral Infarcts in a Pediatric Sickle Cell Anemia (SCA) Cohort

Blood ◽

10.1182/blood.v112.11.2487.2487 ◽

2008 ◽

Vol 112 (11) ◽

pp. 2487-2487 ◽

Cited By ~ 1

Author(s):

Francoise Bernaudin ◽

Suzanne Verlhac ◽

Annie Kamdem ◽

Cécile Arnaud ◽

Lena Coïc ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Regression Analysis ◽

Risk Factor ◽

Logistic Regression Analysis ◽

G6pd Deficiency ◽

Significant Risk ◽

Significant Risk Factor ◽

History Of ◽

Independent Risk Factors

Abstract Background Silent infarcts are associated with impaired cognitive functioning and have been shown to be predictors of stroke (Miller ST J Pediatr 2001). Until now, reported risk factors for silent infarcts were low pain event rate, history of seizures, high leukocyte count and Sen bS haplotype (Kinney TR Pediatrics 1999). Here, we seek to define the prevalence and risk factors of silent infarcts in the Créteil SCA pediatric cohort comprising patients assessed at least yearly by transcranial doppler (TCD) since 1992, and by MRI/MRA. Methods This study retrospectively analyzed data from the Créteil cohort stroke-free SS/Sb0 children (280; 134 F, 146 M), according to institutional review board. Time-averaged mean of maximum velocities higher than 200 cm/sec were considered as abnormal, resulting in initiation of a transfusion program (TP). A switch to hydroxyurea was proposed to patients with normalized velocities (< 170 cm/sec) and normal MRA on TP, although TP was re-initiated in case of abnormal velocities recurrence. Patients with “conditional” velocities (170–199 cm/sec) were assessed by TCD 4 times yearly. Alpha genes and beta-globin haplotypes were determined. Baseline biological parameters (G6PD activity; WBC, PMN, Reticulocytes, Platelets counts; Hemoglobin, Hematocrit, HbF, LDH levels; MCV; SpO2) were obtained a minimum of 3 months away from a transfusion, one month from a painful episode, after 12 months of age, before the first TCD, and always before therapy intensification. Results. Patients were followed for a total of 2139 patient-years. Alpha-Thal was present in 114/254 patients (45%) and 27/241 (11.2%) had G6PD deficiency. Beta genotype, available in 240 patients, was BaBa in 102 (42.5%), BeBe in 54 (22.5%), SeSe in 19 (7.9%) and “other” in 65 (27.1%); TCD was abnormal in 52 of 280 patients (18.6%). MRA showed stenoses in 30 of 226 evaluated patients (13.3%) while MRI demonstrated presence of silent infarcts in 81/280 patients (28.9%). Abnormal TCD (p<0.001), G6PD deficiency (p=0.008), high LDH (p=0.03), and low Hb (p=0.026) were significant risk factors for stenoses by univariate analysis while multivariate analysis retained only abnormal TCD as a significant risk factor for stenoses ([OR= 10.6, 95% CI (4.6–24.4)]; p<0.001). Univariate logistic regression analysis showed that the risk of silent infarcts was not related to alpha-Thal, beta genotype, abnormal TCD, WBC, PMN, platelets, reticulocyte counts, MCV, LDH level, HbF %, pain or ACS rates but was significantly associated with stenoses detected by MRA (p<0.001), gender (male; p=0.04), G6PD deficiency (p=0.05), low Hb (p=0.016) and Hct (p=0.012). Multivariate logistic regression analysis showed that gender ([OR= 2.1, 95% CI (1.03–4.27)]; p=0.042), low Hb ([OR= 1.4, 95% CI (1.0–1.1)]; p=0.05) and stenoses ([OR= 4.8, 95% CI (1.88–12.28)]; p=0.001) were all significant independent risk factors for silent infarcts. The presence of stenoses was the only significant risk factor for silent infarcts in patients with a history of abnormal TCD ([OR= 5.9, 95% CI (1.6–21.7)]; p=0.008). Conclusion We recently showed that G6PD deficiency, absence of alpha-Thal, and hemolysis are independent significant risk factors for abnormal TCD in stroke-free SCA patients (Bernaudin et al, Blood, 2008, in press). Here, we report that an abnormal TCD is the most significant risk factor for stenoses and, expanding previous studies, we demonstrate that stenoses, low Hb and gender are significant independent risk factors for silent infarcts.

Download Full-text

Delayed Stroke Treatment during COVID-19 Pandemic in China

10.1101/2020.11.17.20228122 ◽

2020 ◽

Author(s):

Shiyuan Gu ◽

Zhengze Dai ◽

Huachao Shen ◽

Yongjie Bai ◽

Xiaohao Zhang ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Ischemic Stroke ◽

Acute Stroke ◽

Acute Ischemic Stroke ◽

Logistic Regression Analysis ◽

Multivariate Logistic Regression Analysis ◽

Intravenous Thrombolysis ◽

Multivariate Logistic Regression ◽

Delayed Treatment

ABSTRACTBackgroundSocial distance, quarantine, pathogen testing and other preventive strategies implemented during COVID-19 pandemic may negatively influence the management of acute stroke.ObjectiveThe current study aimed to evaluate the impacts of COVID-19 pandemic on treatment delay of acute stroke in China.MethodsThis study included patients with acute stroke admitted in two hospitals in Jiangsu, China. Patients admitted before and after the COVID-19 epidemic outbreak (January 31, 2020, as officially announced by Chinese government) were compared for pre- (measured as onset-to-door time) and post-hospital delay (measured as door-to-needle time). The influence factors for delayed treatment (indicated as onset-to-needle time >4.5 hours) were analyzed with multivariate logistic regression analysis.ResultsOnset-to-door time increased from 202 min (IQR 65-492) before to 317 min (IQR 75-790) after the COVID-19 pandemic (P=0.001). Door-to-needle time increased from 50min (IQR 40-75) before to 65 min (IQR 48-84) after the COVID-19 pandemic (P=0.048). The proportion of patients with intravenous thrombolysis in those with acute ischemic stroke was decreased significantly after the pandemic (15.4% vs 20.1%; P=0.030). Multivariate logistic regression analysis indicated that patients after COVID-19 pandemic, lower educational level, rural residency, mild symptoms and transported by other means than ambulance were associated with delayed treatment.ConclusionsCOVID-19 pandemic has remarkable impacts on the management of acute ischemic stroke. Both pre- and post-hospital delays were prolonged significantly, and proportion of patient arrived within the 4.5-hour time window for intravenous thrombolysis treatment was decreased. Given that anti-COVID-19 measures are becoming medical routines, efforts are warranted to shorten the delay so that the outcomes of stroke could be improved.

Download Full-text

Association between motoric cognitive risk syndrome and frailty among Chinese older adults

10.21203/rs.2.15390/v1 ◽

2019 ◽

Author(s):

Shanshan Shen ◽

Xingkun Zeng ◽

Liyu Xu ◽

Lingyan Chen ◽

Zixia Liu ◽

...

Keyword(s):

Older Adults ◽

Logistic Regression ◽

Regression Analysis ◽

Confidence Interval ◽

Logistic Regression Analysis ◽

Odds Ratio ◽

Cognitive Complaints ◽

Chinese Older Adults ◽

Cognitive Risk ◽

Subjective Cognitive Complaints

Abstract Background: Motoric cognitive risk syndrome (MCR) is a newly proposed pre-dementia syndrome incorporating subjective cognitive complaints and slow gait. Previous studies have shown that subjective cognitive complaints and slow gait are reported to be associated with frailty in cognitively unimpaired older adults, but little is known giving attention to the link between MCR and frailty in older adults. Therefore, the aim of the study was to explore the associations of MCR and its components and frailty in Chinese older adults. Methods: In an observation cross-sectional study, a total of 429 older adults aged 60 years and older were admitted to the geriatric department. According to MCR criteria, all participants were classified to 4 groups: 1) MCR group; 2) subjective cognitive complaints group; 3) slow gait group; 4) healthy control group. Physical frailty was assessed by Clinical Frailty Scale (CFS). The multivariate logistic regression analysis was used to examine the association between MCR and frailty in older adults. Results: The prevalence of subjective cognitive complaints, slow gait and MCR was 15.9%, 10.0% and 4.0%, respectively. After adjusting for confounding variables, the logistic regression analysis showed that slow gait (odds ratio [OR] 3.40, 95% confidence interval [CI] 1.40-8.23, P=0.007) and MCR (odds ratio [OR] 5.53, 95% confidence interval [CI] 1.46-20.89, P=0.012) were independently associated with frailty, but not subjective cognitive complaints. Conclusions: MCR and slow gait were significantly associated with frailty in Chinese older adults. Further study should prospectively determine the causal relationship between MCR and frailty.

Download Full-text

The prevalence and clinical characteristics of diabetes mellitus in Chinese inpatients with chronic schizophrenia: a multicenter cross-sectional study

PeerJ ◽

10.7717/peerj.12553 ◽

2021 ◽

Vol 9 ◽

pp. e12553

Author(s):

Yanni Wang ◽

Lingyun Zeng ◽

Lijuan Chen ◽

Xin Zhou ◽

Lijuan Huo ◽

...

Keyword(s):

Diabetes Mellitus ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Clinical Characteristics ◽

Chronic Schizophrenia ◽

Cross Sectional Study ◽

World Health ◽

Sectional Study ◽

Cross Sectional

Background Diabetes mellitus (DM) is common among patients with schizophrenia. However, information on patients comorbid DM and schizophrenia is limited in China. The present study investigated the prevalence of DM and its clinical characteristics in Chinese inpatients with chronic schizophrenia. Methods A cross-sectional study was performed in Chinese inpatients with chronic schizophrenia. Diagnosis of Diabetes was established using World Health Organization diagnostic criteria for diabetes mellitus (persistent fasting glucose levels ≥ 126 mg/dl or 2-h plasma glucose ≥ 200 mg/dL after a 75-g Oral Glucose Tolerance Test). Patients were also measured height, weight, waist circumference, hip circumference, triglyceride level, and cholesterol level. Patients’ psychiatric symptoms were measured by the Positive and Negative Syndrome Scale (PANSS). Binary logistic regression analysis was performed to examine the associated demographic and clinical variables in chronic schizophrenia. Results A total of 988 inpatients (64.6% male, average age of 47.19 ± 12.55) was recruited. The prevalence of DM in Chinese patients with chronic schizophrenia was 13.8% (95% CI [11.6–15.9]%). Logistic regression analysis showed that overweight (OR = 1.90, 95% CI [1.20–3.03], p = 0.006), obesity (OR = 1.85, 95% CI [1.07–3.21], p = 0.028), comorbid hypertension (OR = 2.14, 95% CI [1.34–3.42], p = 0.002), and course of schizophrenia (OR = 1.03, 95% CI [1.01–1.06], p = 0.040) were significantly associated with the DM risk in patients with schizophrenia. Conclusion The findings indicated that diabetes mellitus was non-negligible in patients with chronic schizophrenia. Patients with schizophrenia should be regularly monitored for DM. Overweight/obesity, long duration of schizophrenia, and comorbid hypertension possibly were risk factors for diabetes.

Download Full-text

Facemask wearing to prevent COVID-19 transmission and associated factors among taxi drivers in Dessie City and Kombolcha Town, Ethiopia

PLoS ONE ◽

10.1371/journal.pone.0247954 ◽

2021 ◽

Vol 16 (3) ◽

pp. e0247954

Author(s):

Tarikuwa Natnael ◽

Yeshiwork Alemnew ◽

Gete Berihun ◽

Masresha Abebe ◽

Atsedemariam Andualem ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Odds Ratio ◽

Associated Factors ◽

Multivariable Analysis ◽

World Health ◽

Multivariable Logistic Regression Analysis ◽

Taxi Drivers ◽

Targeted Interventions

Background The World Health Organization (WHO) has pointed out that urban taxi drivers and their passengers are at higher risk of transmitting coronavirus disease 19 (COVID-19) due to frequent contact among many people. Facemask wearing is one of the preventive measures recommended to control the transmission of the virus. A lack of evidence of the proportion of facemask wearing among taxi drivers and associated factors in Ethiopia, including Dessie City and Kombolcha Town, hinders the design of targeted interventions to advocate for facemask use. This study was designed to address this gap. Methods A cross-sectional study was conducted among 417 taxi drivers in Dessie City and Kombolcha Town from July to August, 2020. The study participants were selected using a simple random sampling technique after proportionally allocating the sample size from the total number of taxi drivers working in Dessie City and Kombolcha Town. The data were collected by trained data collectors using a structured questionnaire and an on-the-spot observational checklist. The collected data were checked, coded and entered to EpiData version 4.6 and exported to Statistical Package for Social Sciences (SPSS) version 25.0 for data cleaning and analysis. Bivariate (Crude Odds Ratio [COR]) and multivariable (Adjusted Odds Ratio [AOR]) logistic regression analyses were employed using 95% CI (confidence interval). From bivariate logistic regression analysis, variables with p-value < 0.250 were retained into multivariable logistic regression analysis. Then, from the multivariable analysis, variables with p-value < 0.050 were declared as factors significantly associated with facemask wearing among taxi drivers in Dessie City and Kombolcha Town. Main findings The proportion of taxi drivers who wore a facemask was 54.68% [95%CI: 50.10–59.7%]. The majority (58.3%) of drivers were using cloth facemasks, followed by N95 facemasks (24.5%) and surgical facemasks (17.3%). Out of the total 417 taxi drivers, more than two-thirds (69.8%) of them had a good knowledge about COVID-19 and 67.6% of taxi drivers had a positive attitude towards taking precautions against transmission of COVID-19. Three-fourths (74.1%) of the taxi drivers believed that wearing a facemask could prevent COVID-19. More than half (52.5%) felt discomfort when wearing a facemask. Almost three-fourths (72.2%) of taxi drivers felt that the presence of local government pressure helped them to wear a facemask. We found that marital status [AOR = 3.14, 95%CI: 1.97–5.01], fear of the disease [AOR = 2.1, 95%CI: 1.28–3.47], belief in the effectiveness of a facemask [AOR = 5.6, 95%CI: 3.1–10.16] and feeling government pressure [AOR = 3.6, 95%CI: 2.16–6.13] were factors significantly associated with wearing a facemask. Conclusion We found that the proportion of facemask wearers among taxi drivers was relatively low in Dessie City and Kombolcha Town. In order to increase that number, government bodies should work aggressively to encourage more taxi drivers to wear a facemask. We also recommend that government and non-government organizations work very closely together to implement strategies that promote facemask use, including increasing the availability of inexpensive facemasks, and monitoring and controlling facemask use.

Download Full-text

Factors Leading to Cesarean Section Delivery at Tarakan Hospital, North Kalimantan

Journal of Maternal and Child Health ◽

10.26911/thejmch.2021.06.01.08 ◽

2021 ◽

Vol 6 (1) ◽

pp. 77-83

Author(s):

Rahmi Padlilah ◽

◽

Ika Yulianti ◽

Ririn Ariyanti ◽

◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Cesarean Section ◽

Logistic Regression Analysis ◽

Multiple Logistic Regression Analysis ◽

Mortality And Morbidity ◽

Factors Affecting ◽

Cesarean Section Delivery ◽

History Of ◽

Medical Indications

Background: The increase in cesarean section delivery requires attention. Mortality and morbidity rates for mother and fetus increase in line with the increase in cesarean section delivery. This study aimed to analyze the factors affecting the delivery of cesarean section. Subjects and Method: This was an analytical observational study with a case-control design. The study was conducted at Tarakan Hospital, North Kalimantan, from 2018 to 2020. There were 200 study subjects as the sample of this study that was selected by purposive sampling. The dependent variable was cesarean section delivery. The independent variables were parity, age, history of the disease, medical indications, and ANC history. This study used medical records to collect the data with multiple logistic regression analysis. Results: Cesarean section delivery increased with multiparous (OR= 1.26; 95% CI= 1.67 to 7.45; p= 0.001), age <20 and ≥ 35 years (OR= 1.51; 95% CI= 2.12 to 9.66; p <0.001), high-risk pregnancies such as diabetes mellitus, anemia, hypertension and preeclampsia (OR = 1.50; 95% CI = 2.12 to 9.52; p <0.001), medical indications (OR= 1.37; 95% CI = 1.82 to 8.57; p = 0.001) and complete ANC history (OR = 0.26; 95% CI = 0.13 to 0.56; p = 0.001). Conclusion: Caesarean section delivery increases with multiparous, age <20 and ≥35 years, had a history of the disease, medical indications, and a complete ANC history. Keywords: cesarean section, influencing factors, logistic regression analysis Correspondence: Rahmi Padlilah. University of Borneo Tarakan. Jl. Amal Lama No.1 Tarakan, North Kalimantan. Email: [email protected]. Mobile: +628- 11538073.

Download Full-text