Advanced Healthcare Services Leading to Relax Natural Selection May Have Been Contributing to Global and Regional Increase of Dementia Incidence

2021 ◽  
Author(s):  
Wenpeng You ◽  
Renata Henneberg ◽  
Maciej Henneberg
Keyword(s):  
Natural Selection ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Partial Correlation ◽  
Healthcare Services ◽  
Incidence Rates ◽  
Genetic Traits ◽  
Dementia Patients ◽  
Dementia Incidence ◽  
State Index

Abstract BackgroundAgeing and genetic traits can only explain the increasing dementia incidence partially. Advanced healthcare services allowing dementia patients to survive natural selection (die of dementia) and pass their genes onto their next generation. MethodsCountry-specific estimates of dementia incidence rates (all ages and 15-49 years old), Biology State Index (Is) expressing reduced natural selection, ageing indexed by life expectancy e(65), GDP PPP and urbanization were obtained for analysing the global and regional correlations between reduced natural selection and dementia incidence rate with SPSS v. 27. Results Worldwide, both Is significantly, but inversely, correlated to dementia incidence rates for both populations in bivariate correlations. These relationships remained in the populations of all ages and 15-49 years old regardless of the competing contributing effects from ageing, GDP and urbanization in partial correlation model. Enter multiple linear regression showed that Is was the significant predictor of dementia incidence in populations of all ages and 15-49 years old. Subsequently, Is was selected as the variable having the greatest influence on dementia incidence in stepwise multiple linear regression. Is corelated to dementia incidence more strongly in developed population groupings. ConclusionsWorldwide, reduced natural selection may be another the significant contributor to the increasing dementia incidence with special regard to developed population.

scholarly journals PENGARUH KONDISI LINGKUNGAN TERHADAP KERAWANAN KEJAHATAN DI KAWASAN PERKOTAAN Studi Kasus di Kecamatan Sumur Bandung, Kota Bandung

2019 ◽  
Vol 3 ◽  
pp. 555
Author(s):  
Moh. Dede ◽  
Dede Sugandi ◽  
Iwan Setiawan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Partial Correlation ◽  
Margin Of Error

Kejahatan merupakan perubahan yang tidak direncanakan akibat proses pengembangan perkotaan. Pendekatan geografis dalam analisis kejahatan mampu menganalisis pola kejahatan menggunakan sistem informasi geografis, sekaligus mengkaji hubungan antara kejahatan dan kondisi lingkungan. Penelitian ini bertujuan mengungkap pengaruh kondisi lingkungan terhadap kerawanan kejahatan di Kecamatan Sumur Bandung. Kondisi lingkungan terbagi atas batas antar ruang privat, aksesibilitas, jumlah penduduk, kondisi ekonomi, dan iklim sosial. Penelitian ini berbasis pada penelitian survei dengan menggunakan 176 responden dan margin of error 3,5 persen yang dipilih secara multistage random sampling. Data kejahatan eksiting dianalisis menggunakan KDE guna menghasilkan informasi kerawanan kejahatan. Interaksi antar variabel dianalisis menggunakan multiple linear regression dan partial correlation. Sumur Bandung memiliki kerawanan kejahatan yang lebih tinggi di bagian barat tepatnya di Kelurahan Braga dan Kelurahan Babakan Ciamis. Hasil penelitian menunjukkan kondisi lingkungan memiliki pengaruh simultan terhadap kerawanan kejahatan secara signifikan. Secara parsial, variabel iklim sosial dan jumlah penduduk tidak memiliki pengaruh signifikan terhadap kerawanan kejahatan. Variabel aksesibilitas berkontribusi secara positif dan tinggi terhadap kerawanan kejahatan, sedangkan batas antar ruang privat memiliki kontribusi negatif tertinggi terhadap kejahatan. Korelasi parsial menunjukkan hubungan antar variabel bebas yang signifikan antara kondisi ekonomi dengan batas antar ruang privat, serta jumlah penduduk dengan iklim sosial. Pemodelan kerawanan kejahatan memiliki korelasi yang kuat dan signifikan terhadap kerawanan kejahatan eksisting. Kerawanan kejahatan di Sumur Bandung memiliki pola yang semakin menurun ke bagian timur menuju Kelurahan Merdeka. Oleh sebab itu, pencegahannya harus dilakukan secara terpadu dengan melibatkan aspek lingkungan.

Reaudit of Acute Asthma Admissions Using a Severity Marker Stamp and Determinants of an Outcome Measure

1997 ◽  
Vol 42 (2) ◽  
pp. 49-52 ◽  
Author(s):  
R. Mathur ◽  
R.A. Clark ◽  
D.P. Dhillon ◽  
J.H. Winter ◽  
B.J. Lipworth
Keyword(s):  
Logistic Regression ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Respiratory Rate ◽  
Pulse Rate ◽  
Partial Correlation ◽  
Outcome Measure ◽  
Acute Asthma ◽  
Specialist Centre ◽  
The Mean

Subsequent to the implementation of a severity marker stamp in case notes, an audit was performed in 86 admissions with acute asthma to a specialist centre over a 12 month period. Compared to previous audit the documentation of severity markers was significantly better (PEFR: 52% vs 83%p=0.001, Respiratory rate: 44% vs 81%p=0.001, ABG: 72% vs 80%p=0.04, air entry: 58% vs 86%p=0.001, speech: 27% vs 86%p=0.001, exhaustion: 4% vs 86%p=0.001). In contrast to the previous audit where no patient received Fi02 >0.35, 66% of the cases in the repeat audit received Fi02 0.60 (p=0.001). The mean duration of admission was five days and showed highest partial correlation (r=0.6) to the time in hours for the pulse to fall to 80/min. Multiple linear regression showed that this was the only variable best predicting the duration of admission (R2=0.3). Admission pulse rate (p=0.04) andserum K+(p=0.04) best discriminated between patients admitted for over and under five days. Logistic regression identified only the admission pulse as significant in calculating the odds of the patient staying in the hospital for >5 days.

scholarly journals FOREST COVERAGE AND STREAMFLOW OF WATERSHEDS IN THE TROPICAL ATLANTIC RAINFOREST

2018 ◽  
Vol 42 (2) ◽  
Author(s):  
Natalia Gomes de Souza Mendes ◽  
Roberto Avelino Cecílio ◽  
Sidney Sara Zanetti
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Correlation Coefficient ◽  
Partial Correlation ◽  
Forest Cover ◽  
Regression Equations ◽  
Tropical Atlantic ◽  
Forest Coverage ◽  
Partial Correlation Coefficient ◽  
Forest Biome

ABSTRACT The present study analyzed the average and minimum streamflow behavior of 11 watersheds located in the Atlantic Forest Biome, relating them to the changes in forest cover. The average minimum flow with seven days of duration (Q7), the average annual flow (Qave), the total annual precipitation (Pa) and the percentage of forest cover (FC) for each watershed were determined. The joint correlation between the FC and the Pa with the flow for each watershed were analyzed by adjusting multiple linear regression equations. The partial correlation coefficient was also used to analyze whether the variation in the FC influenced the water flow when the effects of Pa are fixed. This study allowed us to identify significant associations between FC and Pa with Q7 or Qave in only two of the watersheds. Disregarding the effects of Pa, the increase in the FC tended to result in a reduction in the Qave, and in turn increased the Q7 in these two watersheds.

scholarly journals A Multiple Linear Regression Analysis of Rural-Urban COVID-19 Risk Disparities in Texas

2021 ◽  
Author(s):  
Amber K. Luo ◽  
Sophia Zhong ◽  
Charles Sun ◽  
Jasmine Wang ◽  
Alexander White
Keyword(s):  
African American ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Case Fatality ◽  
Multiple Linear Regression Analysis ◽  
Incidence Rates ◽  
Predictor Variables ◽  
Major Predictor ◽  
Major Factors

As the number of COVID-19 cases in the U.S. rises, the differential impact of the pandemic in urban and rural regions becomes more pronounced, and the major factors relating to this difference remain unclear. Using the 254 counties of Texas as units of analysis, we utilized multiple linear regression to investigate the influence of 83 county-level predictor variables including race demographics, age, demographics, healthcare and financial status, and prevalence of and mortality rate from COVID-19 risk factors on the incidence rate and case fatality rate from COVID-19 in Texas on September 15, 2020. Here, we report that urban counties experience, on average, 41.1% higher incidence rates from COVID-19 than rural counties and 34.7% lower case fatality rates. Through comparisons between our models, we found that this difference was largely attributable to four major predictor variables: namely, the proportion of elderly residents, African American residents, and Hispanic residents, and the presence of large nursing homes. According to our models, counties with high incidence rates of COVID-19 are predicted to have high proportions of African American residents and Hispanic residents coupled with low proportions of elderly residents. Furthermore, we found that counties with the highest case fatality rates are predicted to have high proportions of elderly residents, obese residents, and Hispanic residents, coupled with low proportions of residents ages 20-39 and residents who report smoking cigarettes. In our study, major variables and their effects on COVID-19 risk are quantified, highlighting the most vulnerable populations and regions of Texas.

scholarly journals Is Cycling Practice Related to Men’s Pelvic Floor Dysfunctions? A Hypothesis-Generating Observational Study

2021 ◽  
Vol 18 (4) ◽  
pp. 1923
Author(s):  
Guadalupe Molina-Torres ◽  
Mirari Ochandorena-Acha ◽  
Yune Echazarreta-Aparicio ◽  
Nuria Sánchez-Labraca ◽  
Manuel González-Sánchez ◽  
...  
Keyword(s):  
Erectile Dysfunction ◽  
Urinary Tract ◽  
Linear Regression ◽  
Pelvic Floor ◽  
Regression Model ◽  
Multiple Linear Regression ◽  
Linear Regression Model ◽  
Partial Correlation ◽  
Multiple Linear Regression Model ◽  
Urinary Tract Symptoms

Background: There is a lack of consensus with regards to the consequences of cycling practice on urogenital and sexual problems in men. The aim of the study was to analyse the relationship between intensity of cycling practice and urinary tract symptoms, erectile dysfunction, and urinary incontinence. Methods: Observational hypothesis-generating design. Cyclists, men, between 25 and 70 years who had been cycling for more than one year were included. During the statistical analysis, a multiple linear regression model, partial correlation and Spearman’s correlation were carried out. Results: Fifty-eight men participated in the study. Results showed that there is a correlation between years of cycling and prostate symptoms (p = 0.041), and between age and erectile dysfunction (p = 0.001). The multiple linear regression model and the partial correlation analysis showed a correlation between the years of cycling and prostate symptoms (p = 0.007 and p = 0.018). Conclusions: The results have shown that there is a slight correlation between the years of cycling and the presence of lower urinary tract symptoms, independently of the man’s age. Therefore, the results display that high-intensity cycling practice might impact negatively in some men’s pelvic floor functions. Further research is needed to analyse the impact of cycling on urogenital problems in this population group.

Pengaruh Motivasi Kerja Terhadap Kinerja Pegawai Kantor Sekretariat Daerah Kabupaten Gunungkidul

2017 ◽  
Vol 23 (2) ◽  
pp. 121-137
Author(s):  
Ary Sutrischastini ◽  
Agus Riyanto
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Work Motivation ◽  
Probability Sampling ◽  
Random Probability

This paper will discuss the effect of work motivation (incentives, motives and expectations) on the performance of the staff of the Regional Secretariat Gunungkidul. The purpose of this paper is: 1) Determine the effect of incentives on the performance of the staff of the Regional Secretariat Gunungkidul, 2) Determine the effect of motive on the performance of the staff of the Regional Secretariat Gunungkidul, 3) To know the effect of expectations on the performance of the staff of the Regional Secretariat Gunungkidul, 4)To know the effect of incentives, motives and expectations on the performance of the staff of the Regional Secretariat Gunungkidul.Research sites in the Regional Secretariat Gunungkidul and the population is 162entire employee in the Regional Secretariat Gunungkidul. Samples amounted to 116 respondents taken with simple random probability sampling method. Data were analyzed using multiple linear regression. Results obtained: (1) incentives positive and significant effect on the performance of, (2) motif positive and significant effect on the performance of, (3) expectations positive and significant impact on the performance of , and (4) incentives, motives and expectations of positive and significant impact on the performance of the staff of the Regional Secretariat Gunungkidul.

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