Application of Logistic Regression to Determine The Quality of Foreign Tourists to Indonesia

Abstract Background The etiology of reflux esophagitis (RE) is multi-factorial. This study analyzed the relationship of depression, anxiety, lifestyle and eating habits with RE and its severity and further explored the impact of anxiety and depression on patients’ symptoms and quality of life. Methods From September 2016 to February 2018, a total of 689 subjects at Xuanwu Hospital Capital Medical University participated in this survey. They were divided into the RE group (patients diagnosed with RE on gastroscopy, n = 361) and the control group (healthy individuals without heartburn, regurgitation and other gastrointestinal symptoms, n = 328). The survey included general demographic information, lifestyle habits, eating habits, comorbidities, current medications, the gastroesophageal reflux disease (GERD) questionnaire (GerdQ), the Patient Health Questionnaire-9 depression scale and the General Anxiety Disorder-7 anxiety scale. Results The mean age and sex ratio of the two groups were similar. Multivariate logistic regression analysis identified the following factors as related to the onset of RE (p < 0.05): low education level; drinking strong tea; preferences for sweets, noodles and acidic foods; sleeping on a low pillow; overeating; a short interval between dinner and sleep; anxiety; depression; constipation; history of hypertension; and use of oral calcium channel blockers. Ordinal logistic regression analysis revealed a positive correlation between sleeping on a low pillow and RE severity (p = 0.025). Depression had a positive correlation with the severity of symptoms (rs = 0.375, p < 0.001) and patients’ quality of life (rs = 0.306, p < 0.001), whereas anxiety showed no such association. Conclusions Many lifestyle factors and eating habits were correlated with the onset of RE. Notably, sleeping on a low pillow was positively correlated with RE severity, and depression was positively related to the severity of symptoms and patients’ quality of life.

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Ordinal outcome analysis improves the detection of between-hospital differences in outcome

BMC Medical Research Methodology ◽

10.1186/s12874-020-01185-7 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

I. E. Ceyisakar ◽

N. van Leeuwen ◽

Diederik W. J. Dippel ◽

Ewout W. Steyerberg ◽

H. F. Lingsma

Keyword(s):

Logistic Regression ◽

Quality Of Care ◽

Outcome Measures ◽

Statistical Power ◽

Ordinal Scale ◽

Efficiency Gain ◽

Number Of Patients ◽

Dichotomous Outcomes ◽

Ordinal Outcome

Abstract Background There is a growing interest in assessment of the quality of hospital care, based on outcome measures. Many quality of care comparisons rely on binary outcomes, for example mortality rates. Due to low numbers, the observed differences in outcome are partly subject to chance. We aimed to quantify the gain in efficiency by ordinal instead of binary outcome analyses for hospital comparisons. We analyzed patients with traumatic brain injury (TBI) and stroke as examples. Methods We sampled patients from two trials. We simulated ordinal and dichotomous outcomes based on the modified Rankin Scale (stroke) and Glasgow Outcome Scale (TBI) in scenarios with and without true differences between hospitals in outcome. The potential efficiency gain of ordinal outcomes, analyzed with ordinal logistic regression, compared to dichotomous outcomes, analyzed with binary logistic regression was expressed as the possible reduction in sample size while keeping the same statistical power to detect outliers. Results In the IMPACT study (9578 patients in 265 hospitals, mean number of patients per hospital = 36), the analysis of the ordinal scale rather than the dichotomized scale (‘unfavorable outcome’), allowed for up to 32% less patients in the analysis without a loss of power. In the PRACTISE trial (1657 patients in 12 hospitals, mean number of patients per hospital = 138), ordinal analysis allowed for 13% less patients. Compared to mortality, ordinal outcome analyses allowed for up to 37 to 63% less patients. Conclusions Ordinal analyses provide the statistical power of substantially larger studies which have been analyzed with dichotomization of endpoints. We advise to exploit ordinal outcome measures for hospital comparisons, in order to increase efficiency in quality of care measurements. Trial registration We do not report the results of a health care intervention.

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SAT0625-HPR FATIGUE AND CONTRIBUTING FACTORS IN CHINESE PATIENTS WITH ANKYLOSING SPONDYLITIS

Annals of the Rheumatic Diseases ◽

10.1136/annrheumdis-2020-eular.6313 ◽

2020 ◽

Vol 79 (Suppl 1) ◽

pp. 1272.2-1272

Author(s):

W. Zhou ◽

J. Guo ◽

R. Zhao ◽

C. Dong ◽

Z. Gu

Keyword(s):

Quality Of Life ◽

Logistic Regression ◽

Ankylosing Spondylitis ◽

Sleep Quality ◽

Binary Logistic Regression ◽

The Self ◽

Chinese Patients ◽

Self Rating ◽

Chi Square Analysis

Background:Ankylosing spondylitis (AS) is a systemic chronic inflammatory disease, which most likely occurs in young men. It mainly affects sacroiliac joints, axial skeleton, thoracic cage and seriously decreasing quality of life in AS patients[1,2]. In recent years, fatigue of AS patients has been paid more and more attention[3]. Fatigue is a complex feeling, diseased individuals describe fatigue as a sense of tiredness at rest, exhaustion with activity, lack of energy which affects daily work, inertia or lack of endurance, or as loss of vitality. It has been confirmed that fatigue is not only a symptom but may also be quantified by fatigue scores and can be modified by various measures depending on the underlying cause[4]. However, there has been no study about fatigue in AS patients in China.Objectives:This study aimed to evaluate the predictors of fatigue and the effects of fatigue on HR-QoL among patients with AS.Methods:A total of 150 AS patients were involved in the study. A series of questionnaires included: Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Metrology Index (BASMI), Bath Ankylosing Spondylitis Functional Index (BASFI), the 10 cm Visual Analog Scale (VAS), the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), the Pittsburgh Sleep Quality Index (PSQI), the Health Assessment Questionnaire-Disability Index (HAQ-DI), the Short Form 36 Health Survey (SF-36) and the Fatigue Severity Scale(FSS). Independent samples t-test, Mann–Whitney U-test, Chi-square analysis, Pearson /Spearman correlation and binary logistic regression were used to analyze the data.Results:The results demonstrated that 48.7% individuals with AS suffered from fatigue. Compared with AS patients without fatigue, AS patients with fatigue showed higher WHR(P<0.05), increased BASDAI (P<0.01) and poorer BASFI (P<0.05). Meanwhile, AS patients with fatigue tended to have more severe pain(P<0.05), higher degree of anxiety(P=0.001), more serious functional disability(P=0.001) and worse sleep quality(P=0.001). Binary logistic regression indicated that WHR (OR=1.78,P<0.05), BASDAI (OR=1.34,P=0.01), sleep disturbance (OR=2.35,P<0.05) were independent predictors of fatigue in AS patients. Additionally, the occurrence of fatigue significantly reduced the quality of life in AS patients both physically and psychologically.Conclusion:These findings suggested that medical personnel should pay more attention to AS patients with fatigue and take effective measures to relieve fatigue.References:[1]Law L, Beckman Rehnman J, Deminger A, Klingberg E, Jacobsson LTH, Forsblad-d’Elia H (2018) Factors related to health-related quality of life in ankylosing spondylitis, overall and stratified by sex. Arthritis research & therapy 20 (1):284. doi:10.1186/s13075-018-1784-8[2]Hanson A, Brown MA (2017) Genetics and the Causes of Ankylosing Spondylitis. Rheumatic diseases clinics of North America 43 (3):401-414. doi:10.1016/j.rdc.2017.04.006[3]Ulus Y, Akyol Y, Bilgici A, Kuru O (2019) Association of work instability with fatigue and emotional status in patients with ankylosing spondylitis: comparison with healthy controls. Clinical rheumatology 38 (4):1017-1024. doi:10.1007/s10067-018-4366-x[4]Finsterer J, Mahjoub SZ (2014) Fatigue in healthy and diseased individuals. The American journal of hospice & palliative care 31 (5):562-575. doi:10.1177/1049909113494748Acknowledgments:Thanks to all the authors for their efforts and thanks to all members of the Department of Rheumatology of Affiliated Hospital of Nantong University for their helpfulness in the acquisition of data.Disclosure of Interests:None declared

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Physician Perceptions on Quality of Life and Resuscitation Preferences for Extremely Early Newborns

American Journal of Perinatology ◽

10.1055/s-0041-1733782 ◽

2021 ◽

Author(s):

Danielle LoRe ◽

Christopher Mattson ◽

Dalia M. Feltman ◽

Jessica T. Fry ◽

Kathleen G. Brennan ◽

...

Keyword(s):

Quality Of Life ◽

Logistic Regression ◽

Regression Models ◽

Mixed Effects ◽

Cross Sectional Survey ◽

Cross Sectional ◽

Comfort Care ◽

Logistic Regression Models ◽

Extremely Preterm

Objective The study aimed to explore physician views on whether extremely early newborns will have an acceptable quality of life (QOL), and if these views are associated with physician resuscitation preferences. Study Design We performed a cross-sectional survey of neonatologists and maternal fetal medicine (MFM) attendings, fellows, and residents at four U.S. medical centers exploring physician views on future QOL of extremely early newborns and physician resuscitation preferences. Mixed-effects logistic regression models examined association of perceived QOL and resuscitation preferences when adjusting for specialty, level of training, gender, and experience with ex-premature infants. Results A total of 254 of 544 (47%) physicians were responded. A minority of physicians had interacted with surviving extremely early newborns when they were ≥3 years old (23% of physicians in pediatrics/neonatology and 6% in obstetrics/MFM). The majority of physicians did not believe an extremely early newborn would have an acceptable QOL at the earliest gestational ages (11% at 22 and 23% at 23 weeks). The majority of physicians (73%) believed that having an extremely preterm infant would have negative effects on the family's QOL. Mixed-effects logistic regression models (odds ratio [OR], 95% confidence interval [CI]) revealed that physicians who believed infants would have an acceptable QOL were less likely to offer comfort care only at 22 (OR: 0.19, 95% CI: 0.05–0.65, p < 0.01) and 23 weeks (OR: 0.24, 95% CI: 0.07–0.78, p < 0.02). They were also more likely to offer active treatment only at 24 weeks (OR: 9.66, 95% CI: 2.56–38.87, p < 0.01) and 25 weeks (OR: 19.51, 95% CI: 3.33–126.72, p < 0.01). Conclusion Physician views of extremely early newborns' future QOL correlated with self-reported resuscitation preferences. Residents and obstetric physicians reported more pessimistic views on QOL. Key Points

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Quality of Care in Long-Term Hemodialysis Patients in Mexico

Austin Journal of Nephrology and Hypertension ◽

10.26420/austinjnephrolhypertens.2021.1091 ◽

2021 ◽

Vol 8 (1) ◽

Author(s):

Torres-Díaz JA ◽

◽

Gonzalez-Gonzalez JG ◽

Zúniga-Hernández JA ◽

Olivo-Gutiérrez MC ◽

...

Keyword(s):

Logistic Regression ◽

Quality Of Care ◽

Linear Regression ◽

Regression Model ◽

Linear Regression Model ◽

World Literature ◽

Logistic Regression Model ◽

Hospital Admissions ◽

Cross Sectional

Introduction: The End Stage Renal Disease (ESRD) is one of the leading causes of mortality in Mexico. The quality of care these patients receive remains uncertain. Methods: This is a descriptive, single-center and cross-sectional cohort study. The KDOQI performance measures, hemoglobin level >11 g/dL, blood pressure <140/90 mmHg, serum albumin >4 g/dL and use of arteriovenous fistula of patients with ESRD on hemodialysis were analyzed in a period of a year. The association between mortality and the KDOQI objectives was evaluated with a logistic regression model. A linear regression model was also performed with the number of readmissions. Results: A total of 124 participants were included. Participants were categorized by the number of measures completed. Fourteen (11.3%) of the participants did not meet any of the goals, 51 (41.1%) met one, 43 (34.7%) met two, 11 (8.9%) met three, and 5 (4%) met the four clinical goals analyzed. A mortality of 11.2% was registered. In the logistic regression model, the number of goals met had an OR for mortality of 1.1 (95% CI 0.5-2.8). In the linear regression model, for the number of readmissions, a beta correlation with the number of KDOQI goals met was 0.246 (95% CI -0.872-1.365). Conclusion: The attainment of clinical goals and the mortality rate in our center is similar to that reported in the world literature. Our study did not find a significant association between compliance with clinical guidelines and mortality or the number of hospital admissions in CKD patients on hemodialysis.

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Clinical profile of patients with obstructive sleep apnea syndrome in a cardiology hospital

Terapevticheskii arkhiv ◽

10.26442/00403660.2020.04.000553 ◽

2020 ◽

Vol 92 (4) ◽

pp. 9-16

Author(s):

E. M. Elfimova ◽

O. O. Mikhailova ◽

N. T. Khachatryan ◽

A. Yu. Litvin ◽

I. E. Сhazova

Keyword(s):

Quality Of Life ◽

Obstructive Sleep Apnea ◽

Logistic Regression ◽

Sleep Apnea Syndrome ◽

Sleep Laboratory ◽

Obstructive Sleep ◽

High Prevalence ◽

Apnea Syndrome ◽

Severe Degree

Relevance. Obstructive sleep apnea syndrome (OSAS) is an important medical and social problem due to its high prevalence and impact on quality of life. The relationship between OSAS and cardiovascular pathology has been proven by many studies, which confirms the necessity for early diagnosis of OSAS and its treatment for the prevention of fatal and non-fatal events.Aim: to study epidemiological and clinical profile of the patients referred by a cardiologist to a specialized sleep laboratory to verify the diagnosis of OSAS.Materials and methods. Object of study 527 patients aged 56.912.5 years who were hospitalized to the Myasnikov Clinical Cardiology Research Institute from 20162018 and had OSAS risk factors. Initially, complaints, medical history, anthropometric data were collected. As a screening survey, questionnaires were conducted using questionnaire scales. Verification of the diagnosis of OSAS and determination of the severity was carried out by cardiorespiratory or respiratory monitoring. Subsequently, 4 groups were formed depending on the presence and severity of OSAS.Results. The prevalence of OSAS among patients in a cardiology hospital referred to a verification study was 88.6%. A comparative analysis of the groups revealed a progressive increase in the values of anthropometric indicators with increasing severity of OSAS. No differences were found between the groups by gender and daytime sleepiness on the Karolinska Sleepiness Scale. The average score on the Epworth sleepiness scale was statistically significantly lower only in the group of patients without OSAS when compared with the group with a severe degree of OSAS, and is comparable with the scores in the groups of mild and moderate degrees of OSAS. In a multivariate model of logistic regression, independent predictors of OSAS were identified as: age over 45 years, indications of loud intermittent snoring, frequent nightly urination, overweight or obesity. According to the results of assessing the incidence of various cardiovascular diseases in patients referred to the sleep laboratory, no significant differences were detected. At the same time, a significant difference was found in the frequency of obesity in patients with severe OSAS compared with other groups, as well as the frequency of type 2 diabetes mellitus or impaired glucose tolerance when compared with groups without OSAS, and with mild OSAS. In one-factor logistic regression models, it was found that the likelihood of having a severe degree of OSAS increases with increasing both comorbidity and age.Conclusions. High prevalence of OSAS in patients of a cardiological hospital, referred to a sleep laboratory for verification study, was confirmed. Considering the data that early diagnosis and treatment of OSAS can affect the course of both nosologies, the quality of life and prognosis of these patients, it is advisable to routinely screen and verify the diagnosis of OSAS in patients with cardiovascular diseases.

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Prevalence, Correlations, and Impact of Sleep Disturbance in Chinese Meningioma Patients

10.21203/rs.3.rs-407966/v1 ◽

2021 ◽

Author(s):

Dandan Zhang ◽

Jing Wang ◽

Xixi Gu ◽

Zhifeng Gu ◽

Liren Li ◽

...

Keyword(s):

Quality Of Life ◽

Logistic Regression ◽

Sleep Quality ◽

Sleep Disturbance ◽

Short Form ◽

Binary Logistic Regression ◽

Anxiety And Depression ◽

Newly Diagnosed ◽

Chi Square Analysis

Abstract Purpose Sleep disturbance is common in meningioma patients and may lead to disease aggravation and decreases health-related quality of life (HRQoL). However, the sleep quality of meningioma patients newly diagnosed and ready for surgery has not been well clarified in China. This study aims to evaluate the prevalence, correlates, and impact of sleep disturbance among Chinese meningioma patients. Methods In this cross-sectional study, meningioma patients were recruited from the Affiliated Hospital of Nantong University from January 2020 to November 2020. A series of questionnaires were applied: the 0–10 Numerical Rating Scale (NRS), the Hospital Anxiety and Depression Scale (HADS), the Multidimensional Fatigue Inventory (MFI-20), the Epworth Sleepiness Scale (ESS), the Short-Form 36 (SF-36), the Pittsburgh Sleep Quality Index (PSQI). Independent samples t test, Mann-Whitney U test, chi-square analysis, Pearson/Spearman correlation, and binary logistic regression were used to analyze the data. Results 100 meningioma patients completed the questionnaires. Sleep disturbance affected 43% of the meningioma patients and was linked to many concomitant symptoms, such as headache, fatigue, anxiety and depression. Binary logistic regression indicated that fatigue and headache were predictors of sleep disturbance in meningioma patients. Meanwhile, severe sleep disturbance led to lower quality of life. Conclusions These findings demonstrated that a considerable number of meningioma patients newly diagnosed and ready for surgery suffered from sleep disturbance, potentially contributing to impair HRQoL. Medical personnel should pay more attention to meningioma patients with sleep disturbance and take effective measures to improve sleep quality, with the ultimate goal to improve their HRQoL.

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Analysis of Consumers’ Preference for Local Rice among Households in Ekiti State, Nigeria

Asian Research Journal of Agriculture ◽

10.9734/arja/2020/v12i130074 ◽

2020 ◽

pp. 18-23

Author(s):

G. T. Ajayi ◽

A. Ajiboye

Keyword(s):

Logistic Regression ◽

Control Policy ◽

Structured Interview ◽

Sampling Procedure ◽

Primary Data ◽

Multi Stage ◽

Good Taste ◽

The Mean ◽

The Government

Consumers’ preference for local rice determines its demand. Therefore, the study was carried out to analyze consumers’ preference for local rice among households in Ekiti State. A multi-stage sampling procedure was used to select respondents for this study. A total of 240 women were randomly selected from three Local Government Areas (LGAs) in the State. Primary data were obtained with the use of a well-structured interview schedule. Data collected were analyzed using descriptive statistics as well as inferential statistic like logistic regression. The mean age of the respondents was 38 years and more than half (53.3%) of the respondents were females. Most (70.0%) of the respondents had a mean family size of 7 persons. Most (87.0%) preferred local rice and factors influencing consumers’ preference for local rice include good nutritional value, quality of rice and good taste. Local rice was very much preferred by the respondents. Logistic regression shows that significant influence exists between price, taste, availability of rice and presence of particles and preferred choice of rice. Therefore, efforts should be made by the government to formulate price control policy on local rice for its affordability by the consumers and there should be improvement on processing technology of local rice to eliminate presence of particles for improved quality and good taste to enhance the consumers’ preference for choice of rice. Also, the government should support farmers through provision of incentives and credit facilities so as to produce more local rice for its availability all year round.

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Template Matching and Matrix Profile for Signal Quality Assessment of Carotid and Femoral Laser Doppler Vibrometer Signals

Frontiers in Physiology ◽

10.3389/fphys.2021.775052 ◽

2022 ◽

Vol 12 ◽

Author(s):

Silvia Seoni ◽

Simeon Beeckman ◽

Yanlu Li ◽

Soren Aasmul ◽

Umberto Morbiducci ◽

...

Keyword(s):

Logistic Regression ◽

Quality Assessment ◽

Real Time ◽

Template Matching ◽

Quality Metrics ◽

Laser Doppler ◽

Signal Quality ◽

Laser Doppler Vibrometry ◽

Quality Metric

Background: Laser-Doppler Vibrometry (LDV) is a laser-based technique that allows measuring the motion of moving targets with high spatial and temporal resolution. To demonstrate its use for the measurement of carotid-femoral pulse wave velocity, a prototype system was employed in a clinical feasibility study. Data were acquired for analysis without prior quality control. Real-time application, however, will require a real-time assessment of signal quality. In this study, we (1) use template matching and matrix profile for assessing the quality of these previously acquired signals; (2) analyze the nature and achievable quality of acquired signals at the carotid and femoral measuring site; (3) explore models for automated classification of signal quality.Methods: Laser-Doppler Vibrometry data were acquired in 100 subjects (50M/50F) and consisted of 4–5 sequences of 20-s recordings of skin displacement, differentiated two times to yield acceleration. Each recording consisted of data from 12 laser beams, yielding 410 carotid-femoral and 407 carotid-carotid recordings. Data quality was visually assessed on a 1–5 scale, and a subset of best quality data was used to construct an acceleration template for both measuring sites. The time-varying cross-correlation of the acceleration signals with the template was computed. A quality metric constructed on several features of this template matching was derived. Next, the matrix-profile technique was applied to identify recurring features in the measured time series and derived a similar quality metric. The statistical distribution of the metrics, and their correlates with basic clinical data were assessed. Finally, logistic-regression-based classifiers were developed and their ability to automatically classify LDV-signal quality was assessed.Results: Automated quality metrics correlated well with visual scores. Signal quality was negatively correlated with BMI for femoral recordings but not for carotid recordings. Logistic regression models based on both methods yielded an accuracy of minimally 80% for our carotid and femoral recording data, reaching 87% for the femoral data.Conclusion: Both template matching and matrix profile were found suitable methods for automated grading of LDV signal quality and were able to generate a quality metric that was on par with the signal quality assessment of the expert. The classifiers, developed with both quality metrics, showed their potential for future real-time implementation.

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COMPARISON OF CAREGIVERS FROM DIVERSE COMMUNITIES WHO IMMIGRATED TO OR WERE BORN IN THE US

Innovation in Aging ◽

10.1093/geroni/igz038.3465 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S955-S955

Author(s):

Lauren Stratton ◽

David Bass ◽

Rachel Schaffer ◽

Sara Powers ◽

Ocean Le ◽

...

Keyword(s):

Logistic Regression ◽

Comparative Analysis ◽

Service Providers ◽

The Us ◽

Diverse Communities ◽

Health Related ◽

Similarities And Differences ◽

Racial Ethnic ◽

Selection Of

Abstract The Diverse Elders Coalition, in partnership with its six member organizations and the Benjamin Rose Institute on Aging, completed a national survey of 840 family and friend caregivers from diverse racial, ethnic, and sexual orientation communities to understand their unique caregiving issues and challenges. Data from a subsample of 369 caregivers identifying as Hispanic/Latino, Asian, Southeast Asian or multiple ethnicities were analyzed to understand similarities and differences between caregivers born in the US and who immigrated to the US. The Stress Process Conceptual Model guided selection of characteristics used for comparative analysis. Results of logistic regression revealed that caregivers born in the US were younger (B=-.08, p<.001), had higher educational degrees (B=.42, p<.001), and higher incomes (B=.34, p=.002). They assisted care receivers with more health-related tasks (B=.27, p=.013), but fewer culture-related tasks (B=-.51, p=.002); reported higher levels of strain in their relationship with care receivers (B=.66, p=.038); and were less satisfied with the quality of care receivers’ healthcare (B=-.62, p=.042). In terms of reasons for being a caregiver, there were no significant differences in cultural commitment to caring for older family members, however those born in the US were more likely to report providing care because it was more convenient for them than for other family and friends (B=.99, p=.002). Understanding the needs of diverse caregivers has implications for healthcare and service providers, such as providing training on diverse needs. Additionally, the differences between US born and immigrant caregivers highlights implications on the dynamic between caregivers and their care receiver.

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