A comparison of poisson regression models fitted to multiway summary tables and cox's survival model using data from a blood pressure screening in the city of Bergen, Norway

1990 ◽  
Vol 9 (10) ◽  
pp. 1157-1165 ◽  
Author(s):  
Randi Selmer
Keyword(s):  
Blood Pressure ◽  
Poisson Regression ◽  
Regression Models ◽  
Survival Model ◽  
Blood Pressure Screening ◽  
Using Data ◽  
The City

Severe edentulism is a major risk factor influencing stroke incidence in rural Ecuador (The Atahualpa Project)

2016 ◽  
Vol 12 (2) ◽  
pp. 201-204 ◽  
Author(s):  
Oscar H Del Brutto ◽  
Robertino M Mera ◽  
Mauricio Zambrano ◽  
Victor J Del Brutto
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Poisson Regression ◽  
Regression Models ◽  
Stroke Incidence ◽  
Factors Influencing ◽  
Atahualpa Project

Background There is no information on stroke incidence in rural areas of Latin America, where living conditions and cardiovascular risk factors are different from urban centers. Aim Using a population-based prospective cohort study design, we aimed to assess risk factors influencing stroke incidence in community-dwelling adults living in rural Ecuador. Methods First-ever strokes occurring from 1 June 2012 to 31 May 2016, in Atahualpa residents aged ≥40 years, were identified from yearly door-to-door surveys and other overlapping sources. Poisson regression models adjusted for demographics, cardiovascular risk factors, edentulism and the length of observation time per subject were used to estimate stroke incidence rate ratio as well as factors influencing such incidence. Results Of 807 stroke-free individuals prospectively enrolled in the Atahualpa Project, follow-up was achieved in 718 (89%), contributing 2,499 years of follow-up (average 3.48 ± 0.95 years). Overall stroke incidence rate was 2.97 per 100 person-years of follow-up (95% CI: 1.73–4.2), which increased to 4.77 (95% CI: 1.61–14.1) when only persons aged ≥57 years were considered. Poisson regression models, adjusted for relevant confounders, showed that high blood pressure (IRR: 5.24; 95% CI: 2.55–7.93) and severe edentulism (IRR: 5.06; 95% CI: 2.28–7.85) were the factors independently increasing stroke incidence. Conclusions Stroke incidence in this rural setting is comparable to that reported from the developed world. Besides age and high blood pressure, severe edentulism is a major factor independently predicting incident strokes. Public awareness of the consequences of poor dental care might reduce stroke incidence in rural settings.

scholarly journals Evidence of Adaptation to Increasing Temperatures

2019 ◽  
Vol 17 (1) ◽  
pp. 97 ◽  
Author(s):  
Lisbeth Weitensfelder ◽  
Hanns Moshammer
Keyword(s):  
Poisson Regression ◽  
Regression Models ◽  
Age Groups ◽  
Vulnerable Groups ◽  
Mortality Data ◽  
Optimal Temperature ◽  
Average Temperature ◽  
Time Period ◽  
Middle Europe ◽  
The City

In times of rising temperatures, the question arises on how the human body adapts. When assumed that changing climate leads to adaptation, time series analysis should reveal a shift in optimal temperatures. The city of Vienna is especially affected by climate change due to its location in the Alpine Range in Middle Europe. Based on mortality data, we calculated shifts in optimal temperature for a time period of 49 years in Vienna with Poisson regression models. Results show a shift in optimal temperature, with optimal temperature increasing more than average temperature. Hence, results clearly show an adaptation process, with more adaptation to warmer than colder temperatures. Nevertheless, some age groups remain more vulnerable than others and less able to adapt. Further research focusing on vulnerable groups should be encouraged.

scholarly journals Effect of air pollution on household insurance purchases. Evidence from China household finance survey data

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242282
Author(s):  
Wenxia Zhao
Keyword(s):  
Air Pollution ◽  
Health Insurance ◽  
Life Insurance ◽  
Poisson Regression ◽  
Regression Models ◽  
Household Finance ◽  
Economic Effects ◽  
Using Data ◽  
The Impact ◽  
Degree Of Heterogeneity

In recent years, the health and economic effects of air pollution have attracted considerable attention, and health and insurance services have been closely related to residents’ welfare. However, there are few studies on the influence of pollution on household purchases of insurance. Using data from the 2013 and 2015 China Household Finance Surveys, this study investigates the effect of air pollution on insurance purchases using Logit and Poisson regression models. It is found that air pollution significantly increases the probability of household insurance purchases and the level of premium expenditure, although the impact of air pollution on insurance purchases shows a degree of heterogeneity. Health insurance is more sensitive to air pollution than life insurance and other types of insurance. In areas where NO2 and O3 are the main types of pollutants, air pollution has a greater impact on household insurance purchases.

Prediction of watermain failure frequencies using multiple and Poisson regression

2009 ◽  
Vol 9 (1) ◽  
pp. 9-19 ◽  
Author(s):  
A. Asnaashari ◽  
E. A. McBean ◽  
I. Shahrour ◽  
B. Gharabaghi
Keyword(s):  
Multiple Regression ◽  
Poisson Regression ◽  
Regression Models ◽  
Historical Data ◽  
Correlation Coefficients ◽  
Water Utilities ◽  
Failure Frequency ◽  
Poisson Models ◽  
Important Concern ◽  
The City

An important concern for water utilities managers is the prediction of failure frequency of watermains. To provide insight, reliance can be structured based upon modeling of historical data. In this research two regression-based models are employed, namely multiple and Poisson regression models. The models are derived based on 10 years of historical data collected for the city of Sanandaj in Iran. Several tests to validate each of the models are described. The comparison of correlation coefficients for multiple and Poisson models, besides violating initial assumptions, show that multiple regression-based modeling is inadequate.

Peranan Ketua Pengurus dan Manajer Dalam Penyusunan dan Penerapan Laporan Keuangan Berbasis SAK ETAP Pada Koperasi di Kota Palembang

2019 ◽  
Vol 14 (2) ◽  
pp. 119
Author(s):  
Riza Syahputera ◽  
Martha Rianty
Keyword(s):  
Data Analysis ◽  
Sampling Technique ◽  
Financial Statements ◽  
Significant Positive Effect ◽  
Analysis Technique ◽  
Regression Test ◽  
Using Data ◽  
The City ◽  
Positive Effect

AbstractThis study aims to determine the effect of the role of the Chairperson and Cooperative Manager in the preparation and application of Financial Statements based on SAK ETAP in cooperatives in the city of Palembang. This research is a quantitative study using data obtained from questionnaires and measured using a Likert scale. The sampling technique used is purposive sampling. The sample used in this study was the Chairperson of the cooperative and the manager of the cooperative in the city of Palembang. The cooperatives studied were 203 cooperatives. The data analysis technique used is multiple linear regression test. The results showed that the role of cooperative leaders and managers had a significant positive effect on the preparation and application of SAK ETAP-based financial statements.Keywords : chairman, manager, SAK ETAP, cooperative

What motivates Chinese physicians to provide online counseling services in Internet hospitals: online reputation or offline reputation? (Preprint)

2020 ◽  
Author(s):  
Ronghua Xu ◽  
Tingting Zhang ◽  
Qingpeng Zhang
Keyword(s):  
Regression Models ◽  
Counseling Services ◽  
Online Counseling ◽  
Consulting Services ◽  
Online Consultation ◽  
Number Of Patients ◽  
Professional Titles ◽  
Online Reputation ◽  
Chinese Physicians ◽  
The City

BACKGROUND Internet hospitals, or e-hospitals, as one kind of e-health platforms in China, provided novel channels through which physicians present their medical or health-care knowledge to patients and provide online counseling services. The sustainable development of Internet hospitals and e-health platforms relied on the participation of both the patients and the physicians, especially on the provision of health consultation services by the physicians. OBJECTIVE The objective of our study was to explore the factors motivating Chinese physicians to provide online health counseling services from the perspectives of their online reputation and offline reputation. METHODS We collected the data of 141,030 physicians from 6,173 offline hospitals and 350 cities on WeDoctor, an Internet hospital platform authorized by the China Health and Family Planning Committee. We selected the physicians’ online consultation volume, the total amount of counseling conversations from all channels of the platform, as the investigated dependent variable, reflecting the actual online counseling behaviors of the physicians in the platform. Based on the reputation theories and prior study, we incorporated patients’ feedback as the physicians’ online reputation (i.e. patients’ comments and their satisfaction scores), and incorporated the physicians’ offline professional status as the offline reputation (i.e. professional titles and the rankings of their offline working hospitals). We also delved the moderated effects of the city levels where the physicians lived offline and the number of patients who were watching the physicians online. Eight research hypotheses were proposed. Step-wise linear regression models were used to test our hypotheses. Durbin-Watson test and robustness tests were also conducted to ensure the fitness and reliability of our models. RESULTS As a result of the regression models, we found that, 1) physicians’ online reputation, including the number of comments written by the patients (beta=0.588, P<0.001), the satisfaction scores (beta=0.034, P<0.01), significantly and positively influence physicians’ online counseling behaviors; 2) Physicians’ offline reputation, including their professional titles (beta=-0.084, P<0.001) and the hospital rankings (beta=-0.163, P<0.001), significantly and negatively influence physicians’ online counseling behaviors; 3) the city levels where the physicians lived strengthen the negative effect between their offline hospital rankings and their online consulting services (beta=-0.177, P<0.001), indicating that physicians of higher offline reputation spend less time on online counseling, possibly due to the relative heavier offline workload; 4) the number of watching patients weakens the positive effect between patients’ comments and physicians’ online consulting services (beta=-0.216, P<0.001), indicating that the watching patients may switch the channels from online consultation to offline hospital visits after using the Internet hospitals. CONCLUSIONS This study contributed to the literature on physicians online counseling behaviors in Internet hospitals by verifying the contrasting effects of the online reputation and the offline reputation. It then contributed to the motivation theory by separating the online reputation from the offline reputation when the acting entities have constraints of limited time and effort. This study can also provide practical insights for the hospital managers to better arrange for the online counseling services and for the policy makers to consider the patients’ online feedback into the overall evaluation of the physicians’ reputation.

scholarly journals Blood Pressure Screening in the Workplace

AAOHN Journal ◽  
1989 ◽  
Vol 37 (1) ◽  
pp. 14-17 ◽  
Author(s):  
Betsy Leigh ◽  
Diane Guisinger ◽  
Judy Fech
Keyword(s):  
Blood Pressure ◽  
Blood Pressure Screening

scholarly journals Anticipated help-seeking for cancer symptoms before and after the coronavirus pandemic: results from the Onco-barometer population survey in Spain

2021 ◽  
Author(s):  
Dafina Petrova ◽  
Marina Pollán ◽  
Miguel Rodriguez-Barranco ◽  
Dunia Garrido ◽  
Josep M. Borrás ◽  
...  
Keyword(s):  
Poisson Regression ◽  
Help Seeking ◽  
Regression Models ◽  
Population Survey ◽  
Waiting Times ◽  
Perceived Barriers ◽  
Older Individuals ◽  
Cancer Symptoms ◽  
Before And After ◽  
Diagnostic Delays

Abstract Background The patient interval—the time patients wait before consulting their physician after noticing cancer symptoms—contributes to diagnostic delays. We compared anticipated help-seeking times for cancer symptoms and perceived barriers to help-seeking before and after the coronavirus pandemic. Methods Two waves (pre-Coronavirus: February 2020, N = 3269; and post-Coronavirus: August 2020, N = 1500) of the Spanish Onco-barometer population survey were compared. The international ABC instrument was administered. Pre–post comparisons were performed using multiple logistic and Poisson regression models. Results There was a consistent and significant increase in anticipated times to help-seeking for 12 of 13 cancer symptoms, with the largest increases for breast changes (OR = 1.54, 95% CI 1.22–1–96) and unexplained bleeding (OR = 1.50, 1.26–1.79). Respondents were more likely to report barriers to help-seeking in the post wave, most notably worry about what the doctor may find (OR = 1.58, 1.35–1.84) and worry about wasting the doctor’s time (OR = 1.48, 1.25–1.74). Women and older individuals were the most affected. Conclusions Participants reported longer waiting times to help-seeking for cancer symptoms after the pandemic. There is an urgent need for public interventions encouraging people to consult their physicians with symptoms suggestive of cancer and counteracting the main barriers perceived during the pandemic situation.

The Growth and Shifting Spatial Distribution of Tent Encampments in Oakland, California

2021 ◽  
Vol 693 (1) ◽  
pp. 284-300
Author(s):  
Ryan Finnigan
Keyword(s):  
Spatial Distribution ◽  
West Coast ◽  
Spatial Dynamics ◽  
Transitional Housing ◽  
Using Data ◽  
The City

Tent encampments have become an especially common form of homelessness in West Coast cities like Oakland, California, where the number of people living in tent encampments increased by 130 percent between 2017 and 2019. Living in tent encampments provides residents both benefits and risks, depending on the encampments’ location, size, and stability. Using data from Google Street Views, I document the growth and spatial dynamics of tent encampments in west and central Oakland over the last decade. The number and size of tent encampments rapidly increased between 2014 and 2019, varying widely in their stability. City interventions like the city’s outdoor transitional housing sites displaced several large tent encampments. Combined with overall tent encampment growth, these displacements dispersed the encampments throughout nearby neighborhoods and other parts of the city.

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