scholarly journals Complications as important predictors of disability in ischemic stroke

2017 ◽  
Vol 36 (3) ◽  
pp. 197
Author(s):  
Rizaldy Taslim Pinzon ◽  
Rosa De Lima Renita Sanyasi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Logistic Regression Analysis ◽  
Predictive Factors ◽  
Recurrent Stroke ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Stroke Registry

Background<br />Stroke is the main cause of disability and death in many countries. The high incidence of disability in stroke survivors requires special attention to determine various predictive factors of disability. This study aimed to identify the various predictive factors of disability in ischemic stroke.<br /><br />Methods<br />This study was a cross sectional study on 4510 ischemic stroke patients. Each patient’s data had been recorded in the electronic stroke registry of Bethesda Hospital. Ischemic stroke diagnosis was confirmed by brain CT scan, which was interpreted by a neurologist and a radiologist. Disability was assessed using the modified Rankin scale. Predictors of disability were assessed. Multiple logistic regression analysis was used to analyse the data. <br /><br />Results<br />The subjects were predominantly males, &gt;60 years of age, and suffered stroke for the first time. The incidence of disability was 31.5% (1420/4510). Multiple logistic regression analysis showed that the presence of complications (OR: 6.43; 95% CI: 4.74-8.73; p&lt;0.001), decreased level of consciousness (OR: 4.82; 95% CI: 3.95-5.90; p &lt;0.001), onset ³3 hours (OR: 1.93; 95% CI: 1.52-2.45; p&lt;0.001), recurrent stroke (OR: 1.63; 95% CI: 1.39-1.90; p&lt;0.001), and age &gt;60 years (OR: 1.55; 95% CI: 1.35-1.79; p&lt;0.001) were independent predictive factors of disability.<br /><br />Conclusion<br />We demonstrated that a substantial proportion of patients with ischemic stroke become disabled. And the presence of complications was the most predictive factor of disability in ischemic stroke.

scholarly journals Sex Difference in the Association between Sleep Duration and Thyroid Disease among South Korean Adults

2021 ◽  
Vol 46 (3) ◽  
pp. 337-343
Author(s):  
Jeong Hyun Ahn ◽  
Jin Young Nam ◽  
Soojin Park
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Sleep Duration ◽  
Logistic Regression Analysis ◽  
Thyroid Disease ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
South Korean ◽  
Increased Risk

Objectives: The study aimed to investigate sex differences associated with sleep duration and the prevalence of thyroid disease among South Korean adults.Methods: This cross-sectional study included 17,555 adults who participated in the Korea National Health and Nutrition Examination Survey from 2016 to 2018. Sleep duration was categorized into three groups (insufficient, <7 hour; normal, 7-8 hour; prolonged, ≥9 hour). A chi-squared test was performed to assess baseline characteristics. Multiple logistic regression analysis was used to identify the association between general characteristic and the prevalence of thyroid disease. In subgroup analysis, multiple logistic regression analysis was performed to find the association between sleep duration and prevalence of thyroid disease by sex.Results: For men, insufficient and prolonged sleep durations were increased risk of thyroid disease compared with normal sleep duration (insufficient sleep: odds ratio, OR=1.85, 95% confidence interval, CI=1.19-2.87; prolonged sleep: OR=1.71, 95% CI=1.02-2.87).Conclusions: This study found that men with insufficient and prolonged sleep were associated with thyroid disease. Further studies are needed to identify the relationship between sleep duration, thyroid disease, and sleep quality by sex.

scholarly journals Association between Hyperuricemia and Metabolic Syndrome: An Epidemiological Study of a Labor Force Population in Taiwan

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Cheng-Yu Wei ◽  
Chia-Cheng Sun ◽  
James Cheng-Chung Wei ◽  
Hsu-Chih Tai ◽  
Chien-An Sun ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
The Relationship

The increasing prevalence of metabolic syndrome (MetS) has become an important issue worldwide. Metabolic comorbidities of hypertension, obesity, and hyperlipidemia are shown as important risk factors for incident gout. The purpose of this study was to investigate the relationship between hyperuricemia and MetS. This is a cross-sectional study. The effective sample included 21,544 individuals who received worker health examinations at a local teaching hospital in Changhua County from 2008~2012. We used multiple logistic regression analysis to investigate the influences of hyperuricemia on MetS. The results showed that individuals with MetS had significantly higher blood pressure, fasting plasma glucose, triglycerides, waist circumference, and high-density lipoprotein cholesterol than those without MetS(P<0.001). Multiple logistic regression analysis revealed hyperuricemia to be an important factor of MetS. The risk of developing MetS is higher with high levels of serum uric acid (SUA) and the odds ratio (OR) of having MetS is 4.98 times higher for Tertile 3 than for Tertile 1 (95% CI = 4.16–5.97) and 4 times higher for Quartile 4 than for Quartile 1 (95% CI = 3.59–4.46). In conclusion, males are more likely to develop MetS than females, and the risk of having MetS increases with age and SUA concentration.

scholarly journals Combination of five clinical data as prognostic factors of mortality after ischemic stroke

2017 ◽  
Vol 36 (1) ◽  
pp. 68
Author(s):  
Rizaldy Taslim Pinzon ◽  
Fransiska Theresia Meivy Babang ◽  
Esdras Ardi Pramudita
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Blood Glucose ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Stroke Patients ◽  
Metabolic Encephalopathy ◽  
Random Blood Glucose

<p>Background <br />The mortality rate after ischemic stoke is influenced by various factors. Prognosis after ischemic stroke can be predicted using a scoring system to help the doctor to evaluate patient’s condition, neurologic deficits, and possible prognosis as well as make appropriate management decisions. The objective of this study was to identify the factors which determine mortality rates in patients after ischemic stroke and to determine the prognosis of ischemic stroke patients using the predictive mortality score.</p><p>Methods<br />This was a nested case control study using data from the stroke registry and medical records of patients at the Neurology Clinic of Bethesda Hospital Yogyakarta between 2011-2015. Data was analysed using simple and multiple logistic regression analysis. The scoring was analyzed using receiver-operating characteristic (ROC) curve and the cut-off point using area under the curve (AUC).</p><p>Results<br />Multiple logistic regression analysis showed a significant association between mortality of ischemic stroke patients and age (OR: 4.539, 95% CI: 1.974-10.439, p&lt;0.001), random blood glucose (OR: 2.692, 95% CI: 1.580-4.588, p&lt;0.001), non-dyslipidemia (OR: 2.313, 95% CI: 1.395-3.833, p=0.001), complications (OR: 1.609, 95% CI: 1.019-2.540, p=0.041), risk of metabolic encephalopathy (OR: 2.499, 95% CI: 1.244-5.021, p=0.010) and use of ventilators (OR: 17.278, 95% CI: 2.015-148.195, p=0.009).</p><p>Conclusions<br />Age, high random blood glucose level, complications, metabolic encephalopathy risk and the use of ventilators are associated with mortality after ischemic stroke. The predictive mortality score can be used to assess the prognosis of patients with ischemic stroke.</p>

scholarly journals Husband’s support on the use of Intra Uterine Device (IUD) and implant contraceptives among Indonesian couples

2020 ◽  
Vol 3 (2) ◽  
pp. 87-93
Author(s):  
Retno Heru Setyorini ◽  
Era Revika ◽  
Riadini Wahyu Utami ◽  
Oktriyanto Oktriyanto ◽  
Mardiana Dwi P
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Family Planning ◽  
Data Collection ◽  
Logistic Regression Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Validity And Reliability ◽  
Cross Sectional ◽  
Questionnaire Validity

The involvement of men in family planning has an important role in making decisions related to the use of contraception. This study aimed to determine the effect of husband’s support on the use of IUDs and Implant contraception among Indonesian couples. This is an analytic survey with a cross-sectional approach. The sample was selected by using the Slovin formula, resulted 398 respondents. Sampling was carried out using accidental sampling. Data collection was carried out using a questionnaire. Validity and reliability tests were carried out using Pearson's product-moment and Cronbach's alpha. Results analysis of the study was carried out by multiple logistic regression. 251 (63.1%) husbands were supporting the use of IUDs and Implant contraception as much as 147 (36.9%) others did not support the use of both contraceptives. The results of multiple logistic regression analysis are OR = 7,713; p = 0,0001 Husband's support influences the use of IUDs and Implant contraception.

scholarly journals Prevalence of postural deviations and associated factors in children and adolescents: a cross-sectional study

2016 ◽  
Vol 29 (4) ◽  
pp. 777-786 ◽  
Author(s):  
Mariana Vieira Batistão ◽  
Roberta de Fátima Carreira Moreira ◽  
Helenice Jane Cote Gil Coury ◽  
Luis Ernesto Bueno Salasar ◽  
Tatiana de Oliveira Sato
Keyword(s):  
Physical Activity ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Associated Factors ◽  
Multiple Logistic Regression Analysis ◽  
Extrinsic Factors ◽  
Cross Sectional ◽  
Postural Changes ◽  
Intrinsic And Extrinsic Factors

Abstract Introduction: Postural deviations are frequent in childhood and may cause pain and functional impairment. Previously, only a few studies have examined the association between body posture and intrinsic and extrinsic factors. Objective: To assess the prevalence of postural changes in school children, and to determine, using multiple logistic regression analysis, whether factors such as age, gender, BMI, handedness and physical activity might explain these deviations. Methods: The posture of 288 students was assessed by observation. Subjects were aged between 6 and 15 years, 59.4% (n = 171) of which were female. The mean age was 10.6 (± 2.4) years. Mean body weight was 38.6 (± 12.7) kg and mean height was 1.5 (± 0.1) m. A digital scale, a tapeline, a plumb line and standardized forms were used to collect data. The data were analyzed descriptively using the chi-square test and logistic regression analysis (significance level of 5%). Results: We found the following deviations to be prevalent among schoolchildren: forward head posture, 53.5%, shoulder elevation, 74.3%, asymmetry of the iliac crests, 51.7%, valgus knees, 43.1%, thoracic hyperkyphosis, 30.2%, lumbar hyperlordosis, 37.2% and winged shoulder blades, 66.3%. The associated factors were age, gender, BMI and physical activity. Discussion: There was a high prevalence of postural deviations and the intrinsic and extrinsic factors partially explain the postural deviations. Conclusion: These findings contribute to the understanding of how and why these deviations develop, and to the implementation of preventive and rehabilitation programs, given that some of the associated factors are modifiable.

scholarly journals Analysis and Factors Associated with Measles in Larut, Matang and Selama Districts, Perak, Malaysia

2020 ◽  
Vol 27 (5) ◽  
pp. 130-140
Author(s):  
Asraf Ahmad Qamruddin ◽  
Reza Qamruddin ◽  
Ayu Malik
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Incidence Rate ◽  
Logistic Regression Analysis ◽  
Protective Factor ◽  
Multiple Logistic Regression Analysis ◽  
Prior History ◽  
Multiple Logistic Regression ◽  
Case Definitions ◽  
Factors Associated

Objectives: To determine the incidence rate of measles and the factors associated with confirmed measles cases in Larut, Matang and Selama districts. Methods: Cross-sectional analysis was carried out looking at all suspected and laboratoryconfirmed measles cases in Larut, Matang and Selama districts between 2015 and 2019. Multiple logistic regression analysis was used to determine the associated factors for laboratory-confirmed measles cases. Results: The incidence rate for suspected measles showed an increasing trend from 2015–2019. For laboratory-confirmed measles cases, the incidence rate showed more variation with an increase to 36.11 per million population in 2017 from 5.67 per million population in 2015. The incidence rate later decreased to 10.99 per million population in 2018 and increased again to 24.47 per million population in 2019. From multiple logistic regression analysis, cases that fulfilled the case definition of measles were more likely to be laboratory-confirmed measles. On the other hand, a prior history of measles immunisation was a protective factor. Conclusion: Measles incidence is increasing in trend. Any suspected measles cases that fulfilled the clinical case definitions need to be further investigated. Immunisation should be promoted as they are effective in preventing and eliminating measles.

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