• Title/Summary/Keyword: poisson regression analysis

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Compositional and Contextual Factors Related to Area Differentials in Suicide (지역의 자살률 차이와 관련된 구성적 요인과 상황적 요인)

  • Kang, Eunjeong
    • Korean Journal of Health Education and Promotion
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    • v.30 no.1
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    • pp.41-52
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    • 2013
  • Objectives: Rural-urban differences in suicide have been observed in many settings. However, there has been little research addressing what factors can explain these differences. The purpose of this study was to analyze which compositional factors and contextual factors in local areas might be related to local suicide. Methods: The study design was cross-sectional. The data for 251 primary local governments on their age-standardized suicide mortality and their predefined indicators of compositional factors and contextual factors were obtained from Korean Statistical Information Service as of year 2010. Bivariate analysis including one-way ANOVA and chi-square test were used to identify the differences in local features by area type. Seven poisson regression models for each of total, males, and females were used to analyze which compositional and contextual factors were related to suicide. Results: There were differences in suicide between gu and goon in total, male, and female groups. For total, compositional factors including divorce and smoking rate, and contextual factors including financial independency, water and waterwaste coverage, and number of wastewater discharge factories were found to explain the urban-rural differences. Conclusions: This study provided some evidence that contextual factors at the local level as well as compositional factors are useful for predicting local suicide mortality.

Burnout and Long-term Sickness Absence From the Teaching Function: A Cohort Study

  • Salvagioni, Denise A.J.;Mesas, Arthur E.;Melanda, Francine N.;Gonzalez, Alberto D.;de Andrade, Selma M.
    • Safety and Health at Work
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    • v.13 no.2
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    • pp.201-206
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    • 2022
  • Background: The present objective was to verify whether burnout (emotional exhaustion [EE], depersonalization [DP] and low professional efficacy [PE]) is a risk factor for long-term sickness absence (LTSA; 30 consecutive days) from the teaching role. Methods: This was a prospective cohort study with two years of follow-up that investigated 509 elementary and high-school teachers. Burnout was identified by Maslach Burnout Inventory. Poisson regression with robust variance was used to adjust for possible confounders. Results: The incidence of LTSA was 9.4%. High EE levels were associated with LTSA in the crude analysis, but the association lost statistical significance after adjustments (for sex, age, perception of work-life balance, general self-rated health, chronic pain and depression). High DP levels were associated with this outcome, even after all adjustments (relative risk = 1.80; 95% confidence interval: 1.05-3.09). Low PE levels were not related to LTSA. Conclusion: The results reinforce the need to improve teachers' work conditions to reduce burnout, particularly DP, and its consequences.

Analysis of Elderly Drivers' Accident Models Considering Operations and Physical Characteristics (고령운전자 운전 및 신체특성을 반영한 교통사고 분석 연구)

  • Lim, Sam Jin;Park, Jun Tae;Kim, Young Il;Kim, Tae Ho
    • Journal of Korean Society of Transportation
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    • v.30 no.6
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    • pp.37-46
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    • 2012
  • The number of traffic accidents caused by elderly drivers over the age of 65 has surged over the past ten years from 37,000 to 274,000 cases. The proportion of elderly drivers' accidents has jumped 3.1 times from 1.2% to 3.7% out of all traffic accidents, and traffic safety organizations are pursuing diverse measures to address the situation. Above all, connecting safety measures with an in-depth research on behavioral and physical characteristics of elderly drivers will prove vital. This study conducted an empirical research linking the driving characteristics and traffic accidents by elderly drivers based on the Driving Aptitude Test items and traffic accident data, which enabled the measurement of behavioral characteristics of elderly drivers. In developing the Influence Model, we applied the zero-inflated Poisson (ZIP) regression model and selected an accident prediction model based on the Bayesian Influence in regards to the ZIP regression model and the zero-inflated negative binomial (ZINB) regression model. According to the results of the AAE analysis, the ZIP regression model was more appropriate and it was found that three variables? prediction of velocity, diversion, and cognitive ability? had a relation of influence with traffic accidents caused by elderly drivers.

Ultimate Resisting Capacity of Axially Loaded Circular Concrete-Filled Steel Tube Columns (축력이 재하된 원형 콘크리트 충전강관 기둥의 최대 저항능력)

  • Kwak, Hyo-Gyoung;Kwak, Ji-Hyun
    • Journal of the Korea Concrete Institute
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    • v.24 no.4
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    • pp.423-433
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    • 2012
  • The axial load on the concrete-filled steel tube (CFT) column produces confinement stress, which enhances strength of the core concrete. The amount of strength increase in concrete depends on the magnitude of produced confinement stress. From nonlinear analyses, the ultimate resisting capacity of the CFT columns subjected to axial loads was calculated. Nonlinear material properties such as Poisson's ratio and stress-strain relation were considered in the suggested model, and the maximum confining stress was obtained by multi axial yield criteria of the steel tube. This proposed model was verified by comparing the analytical results with experimental results. Then, regression analyses were conducted to predict the maximum confining stress according to D/t ratio and material properties without rigorous structural analysis. To ensure the validity of the suggested regression formula, various empirical formulas and Eurocode4 design code were compared.

Hospital Visits, Admissions and Hospital Costs among Patients with Respiratory and Cardiovascular Diseases according to Particulate Matter in Seoul (서울지역 미세먼지 농도가 호흡기계 및 심혈관계의 외래 방문 및 입원과 진료비에 미치는 영향)

  • Lee, Hyeong Suk
    • Journal of Environmental Health Sciences
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    • v.42 no.5
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    • pp.324-332
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    • 2016
  • Objectives: The annual average of PM10 in Seoul was $45{\mu}/m^3$, which surpasses the WHO annual guidelines ($20{\mu}/m^3$). Most previous analyses of the effects of PM exposure have been retrospective studies using single hospital data, and fewer studies have attempted to address the relationship of PM10 and hospital costs. This study was conducted to investigate the effects of the concentration of PM10 on hospital visits, admissions and hospital costs in patients with respiratory and cardiovascular diseases. Methods: Medical data from the National Health Insurance Service and the monthly average of PM10 from National Institute of Environmental Research were used to identify the effects of PM10 on hospital visits, admissions and hospital costs. We applied Poisson regression and linear regression to perform the analysis. Results: The relative risks for admissions per $10{\mu}/m^3$ increase in PM10 were 23.11%, 10.2% and 6.9% increases for acute bronchiolitis, asthma and bronchitis, respectively. The relative risk for hospital visits per $10{\mu}/m^3$ increase in PM10 were 10.4%, 6.7% and 5.9% for chronic obstructive pulmonary disease, asthma and chronic sinusitis, respectively. For cardiovascular disease, the relative risk for admissions per $10{\mu}/m^3$ increase in PM10 were 2.2% and 2.1% increases in angina and acute myocardial infarction, respectively. A $10{\mu}/m^3$ increase in the monthly average of PM10 corresponded to 170,723,000 won (95% CI: 125,587,000-215,860,000 won), 123,636,000 won (95% CI: 47,784,000-199,487,000 won) and 78,571,000 won (95% CI: 29,062,000-128,081,000 won) increases in hospital costs for asthma, acute tonsillitis and chronic sinusitis, respectively. Conclusion: Hospital admissions for respiratory and cardiovascular disease were associated with PM10 levels. PM10 exposure is also associated with increased costs for respiratory diseases.

Effects of Ambient Air Pollution on Respiratory Health of Workers at Highway Tollgate (간이 폐기능측정기 (mini-Wright)와 비강세척액 (Nasal Lavage)을 이용한 대기오염물질과 호흡기 건강영향 분석)

  • Lee, Jong-Tae;Chung, Yong;Hyun, Youn-Joo;Cho, Hyea-Ryun
    • Environmental Analysis Health and Toxicology
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    • v.14 no.1_2
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    • pp.21-33
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    • 1999
  • A large number of studies have indicated associations between the impairment of respiratory health and exposure to ambient air pollutants such as ozone (O$_3$) , nitrogen dioxide (NO$_2$) , sulfur dioxide(SO$_2$) , particulate matters (PM$\_$10/). To evaluate this associations, we used the pulmonary function tests (peak expiratory flow rate : PEFR) by mini-wright peak flow meter and counting neutrophils in the nasal lavage (NL) as biomarker. From 15 June to 16 July 1998, for the workers in the highway tollgates, PEFR and NL were measured three times daily and twice per week. and association between the level of air pollutants and PEFR and NL were analyzed using the multiple regression model and the poisson regression model respectively. The results indicated that the effects of all measured air pollutants (SO$_2$, NO$_2$, O$_3$, PM$\_$10/) were not significantly associated with the value of PEFR. On the other side, SO$_2$, NO$_2$, PM$\_$10/ were significantly associated with the number of neutrophils in NL. The increase in SO$_2$, NO$_2$of 10ppb and in PM$\_$10/ of 10$\mu\textrm{g}$/m$^3$was associated with 24%, 21%, 35% increases in neutrophil counts. But the ozone exposure was not associated with NL.

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Characteristics and Models of Intersection Accidents by Elderly Drivers in the Case of Cheongju 4-legged Signalized Intersections (고령운전자 교차로 사고의 특성 및 모형 - 청주시 4지 신호교차로를 중심으로 -)

  • Park, Byung-Ho;Han, Sang-Wook;Kim, Kyung-Hwan
    • International Journal of Highway Engineering
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    • v.11 no.4
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    • pp.33-40
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    • 2009
  • This study deals with the traffic accidents of elderly drivers. The objectives are to comparatively analyze the characteristics of accident between the elderly and other drivers, and to develop the models of traffic accidents. In pursuing the above, this paper gives particular attentions to testing the differences between the above two groups, and developing the models(Poisson and negative binomial regression) using the data of Cheongju 4-legged signalized intersections. The main results analyzed are as follows. First, the differences between the elderly and other drivers' accidents were clearly defined by the time of day, accident type, etc. Second, 3 accident models which were all statistically significant were developed. Finally, the differences between elderly and other drivers' models were comparatively analyzed using the common and specific variables.

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Evaluation of Dynamic Soil Properties Using Dynamic Tests (동적시험에 의한 동적지반특성 평가)

  • Lee, Myung Jae;Shin, Jong Ho;Kang, Ki Young;Chon, Chun Su
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.10 no.2
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    • pp.91-102
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    • 1990
  • The representative tests in this study are performed at a selected site which has the soil layers to analyze the safety and economy of the dynamic analysis for the variable soil conditions. Crosshole test and downhole test of small strain level tests and triaxial test of large strain level test are performed in the soil layers, and in the rock layers, crosshole test and downhole in-situ tests and laboratory sonic test are performed to measure the dynamic shear modulus, damping ratio, and Poisson$\acute{s}$ ratio of the soil and the rock. The correlations between the dynamic soil properties from the tests and the basic soil properties are determined through the regression analysis. The representative design value of the soil is determined by probability analysis of the test results. It is determined from the nonlinear stress-strain model in soils, and the value at small strain level is computed in rocks according to the distribution of the type of soils and the affecting variables. The constitutive value is systematized to be utilized in the analysis of the test results, and computation of the input soil data.

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The Effects of Sentiment and Readability on Useful Votes for Customer Reviews with Count Type Review Usefulness Index (온라인 리뷰의 감성과 독해 용이성이 리뷰 유용성에 미치는 영향: 가산형 리뷰 유용성 정보 활용)

  • Cruz, Ruth Angelie;Lee, Hong Joo
    • Journal of Intelligence and Information Systems
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    • v.22 no.1
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    • pp.43-61
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    • 2016
  • Customer reviews help potential customers make purchasing decisions. However, the prevalence of reviews on websites push the customer to sift through them and change the focus from a mere search to identifying which of the available reviews are valuable and useful for the purchasing decision at hand. To identify useful reviews, websites have developed different mechanisms to give customers options when evaluating existing reviews. Websites allow users to rate the usefulness of a customer review as helpful or not. Amazon.com uses a ratio-type helpfulness, while Yelp.com uses a count-type usefulness index. This usefulness index provides helpful reviews to future potential purchasers. This study investigated the effects of sentiment and readability on useful votes for customer reviews. Similar studies on the relationship between sentiment and readability have focused on the ratio-type usefulness index utilized by websites such as Amazon.com. In this study, Yelp.com's count-type usefulness index for restaurant reviews was used to investigate the relationship between sentiment/readability and usefulness votes. Yelp.com's online customer reviews for stores in the beverage and food categories were used for the analysis. In total, 170,294 reviews containing information on a store's reputation and popularity were used. The control variables were the review length, store reputation, and popularity; the independent variables were the sentiment and readability, while the dependent variable was the number of helpful votes. The review rating is the moderating variable for the review sentiment and readability. The length is the number of characters in a review. The popularity is the number of reviews for a store, and the reputation is the general average rating of all reviews for a store. The readability of a review was calculated with the Coleman-Liau index. The sentiment is a positivity score for the review as calculated by SentiWordNet. The review rating is a preference score selected from 1 to 5 (stars) by the review author. The dependent variable (i.e., usefulness votes) used in this study is a count variable. Therefore, the Poisson regression model, which is commonly used to account for the discrete and nonnegative nature of count data, was applied in the analyses. The increase in helpful votes was assumed to follow a Poisson distribution. Because the Poisson model assumes an equal mean and variance and the data were over-dispersed, a negative binomial distribution model that allows for over-dispersion of the count variable was used for the estimation. Zero-inflated negative binomial regression was used to model count variables with excessive zeros and over-dispersed count outcome variables. With this model, the excess zeros were assumed to be generated through a separate process from the count values and therefore should be modeled as independently as possible. The results showed that positive sentiment had a negative effect on gaining useful votes for positive reviews but no significant effect on negative reviews. Poor readability had a negative effect on gaining useful votes and was not moderated by the review star ratings. These findings yield considerable managerial implications. The results are helpful for online websites when analyzing their review guidelines and identifying useful reviews for their business. Based on this study, positive reviews are not necessarily helpful; therefore, restaurants should consider which type of positive review is helpful for their business. Second, this study is beneficial for businesses and website designers in creating review mechanisms to know which type of reviews to highlight on their websites and which type of reviews can be beneficial to the business. Moreover, this study highlights the review systems employed by websites to allow their customers to post rating reviews.

What's Different about Fake Review? (조작된 리뷰(Fake Review)는 무엇이 다른가?)

  • Jung Won Lee;Cheol Park
    • Information Systems Review
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    • v.23 no.1
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    • pp.45-68
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    • 2021
  • As the influence of online reviews on consumer decision-making increases, concerns about review manipulation are also increasing. Fake reviews or review manipulations are emerging as an important problem by posting untrue reviews in order to increase sales volume, causing the consumer's reverse choice, and acting at a high cost to the society as a whole. Most of the related prior studies have focused on predicting review manipulation through data mining methods, and research from a consumer perspective is insufficient. However, since the possibility of manipulation of reviews perceived by consumers can affect the usefulness of reviews, it can provide important implications for online word-of-mouth management regardless of whether it is false or not. Therefore, in this study, we analyzed whether there is a difference between the review evaluated by the consumer as being manipulated and the general review, and verified whether the manipulated review negatively affects the review usefulness. For empirical analysis, 34,711 online book reviews on the LibraryThing website were analyzed using multilevel logistic regression analysis and Poisson regression analysis. As a result of the analysis, it was found that there were differences in product level, reviewer level, and review level factors between reviews that consumers perceived as being manipulated and reviews that were not. In addition, manipulated reviews have been shown to negatively affect review usefulness.