Prediction of Cervical Cancer Based on the Life Style, Habits, and Diseases Using Regression Analysis Framework

2018 ◽  
pp. 149-167
Author(s):  
K. Vinoth Raja ◽  
M. Thangamani Murugesan
Keyword(s):  
Cervical Cancer ◽  
Regression Analysis ◽  
Life Style ◽  
Analysis Framework

scholarly journals Determinants factors to Pap smear screening among married women in a city of South Iran: applying the BASNEF model

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Rahimeh Momeni ◽  
Zahra Hosseini ◽  
Teamur Aghamolaei ◽  
Amin Ghanbarnejad
Keyword(s):  
Cervical Cancer ◽  
Regression Analysis ◽  
Behavioral Intention ◽  
Pap Smear ◽  
Subjective Norms ◽  
Screening Methods ◽  
Enabling Factors ◽  
Pap Smear Test ◽  
Smear Test ◽  
Pap Smear Screening

Abstract Background Cervical cancer is known to be preventable because of the long pre-invasion period and the availability of appropriate screening methods. Pap smear is a selective screening approach, which is not taken seriously enough by many women. Methods This cross-sectional, descriptive, analytical study was performed using electronic health records of 202 women visiting the health centers chosen through the systematic sampling method. The data collection tool contained items on demographic information, awareness regarding cervical cancer, and the beliefs, attitudes, subjective norms, and enabling factors (BASNEF) model constructs. Data were analyzed using the linear regression analysis, logistic regression, and multivariate regression analysis with backward selection in SPSS, version 18. Results Based on the results, more than half of the women had never had a Pap smear test. Of the 202 women, only 14.8% had repeated the Pap smear test at the standard interval. Attitudes and subjective norms predicted the intention to have a Pap smear test among the eligible women. Overall, 10% of the changes in behavioral intention were explained by attitudes and subjective norms. In the BASNEF model, the behavioral intention was one of the most important factors that affected compliance with the Pap smear test among the eligible women. Conclusion Based on the results of this study, it is possible to improve screening behaviors among women through proper planning to increase awareness and improve attitudes, subjective norms, enabling factors, and behavioral intention. Pap smear plays an important role in controlling cervical cancer.

scholarly journals The Burden of Cervical Cancer in Korea: A Population-Based Study

2020 ◽  
Vol 17 (17) ◽  
pp. 6308 ◽  
Author(s):  
Jinhee Kim ◽  
Donghwan Lee ◽  
Kyung-Bok Son ◽  
SeungJin Bae
Keyword(s):  
Cervical Cancer ◽  
Regression Analysis ◽  
Medical Cost ◽  
Multivariate Regression Analysis ◽  
Population Based ◽  
Cervical Cancer Prevention ◽  
Cervix Uteri ◽  
Younger Women ◽  
Influential Variable ◽  
The Cost

This study used the Korean National Health Insurance (NHI) claims database from 2011 to 2017 to estimate the incidence and the incidence-based cost of cervical cancer and carcinoma in situ of cervix uteri (CIS) in Korea. The primary outcome was the direct medical cost per patient not diagnosed with cervical cancer (C53) or CIS (D06) 2 years prior to the index date in the first year after diagnosis. A regression analysis was conducted to adjust for relevant covariates. The incidence of cervical cancer tended to decrease from 2013 to 2016, while that of CIS increased. In particular, the incidence rate of CIS in women in their 20 s and 30 s increased by 56.8% and 28.4%, respectively, from 2013 to 2016. The incidence-based cost of cervical cancer and CIS was USD 13,058 and USD 2695 in 2016, respectively, which increased from 2013. Multivariate regression analysis suggested that age was the most influential variable of the cost in both patient groups, and the cost was highest in those aged over 60, i.e., the medical cost was significantly lower in younger women than their older counterparts. These findings suggest that targeting younger women in cervical cancer prevention is a reasonable option from both economic and public health perspectives.

scholarly journals Investigating the effect of social capital on delinquency of 15-to-19-year-old juveniles in shiraz

2015 ◽  
Vol 5 (1) ◽  
Author(s):  
Zinab Adelmand ◽  
Fatemeh Adelmand ◽  
Tahmineh Adelmand ◽  
Maryam Zarnaghash
Keyword(s):  
Social Capital ◽  
Regression Analysis ◽  
Life Style ◽  
Multivariate Regression ◽  
Religious Life ◽  
Multivariate Regression Analysis ◽  
Modern Life ◽  
Family Control ◽  
New Variables ◽  
The Relationship

<p>The aim of this study was to investigate the effect of social capital on 15-to-19-year-old juveniles’ delinquency. Regarding this objective, Yang internet addiction questionnaire (1996) was used to collect the data. This questionnaire contains 20questions classified in some groups. Results of Multivariate Regression Analysis for explaining delinquency indicate that among the variables selected in the analytical model of this study, 5 factors(religious life style, modern life style (friends network), family control, communications (the relationship between social capital and the groups), the respondents’ fathers’ income) have had a significant effect on delinquency and have remained in the equation. After entering these five variables, the entry of new variables have been stopped. In fact, these five variables totally explain 36/1% changes of the dependent variable (delinquency.</p><p> </p><p>Keywords: delinquency, Social Capital</p>

scholarly journals Cost-effectiveness of HPV vaccination in 195 countries: A meta-regression analysis

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0260808
Author(s):  
Katherine L. Rosettie ◽  
Jonah N. Joffe ◽  
Gianna W. Sparks ◽  
Aleksandr Aravkin ◽  
Shirley Chen ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Regression Analysis ◽  
Cost Effectiveness ◽  
Hpv Vaccination ◽  
Cost Effectiveness Analysis ◽  
Sensitivity Analyses ◽  
Cancer Burden ◽  
Effectiveness Analysis ◽  
Meta Regression ◽  
Meta Regression Analysis

Cost-effectiveness analysis (CEA) is a well-known, but resource intensive, method for comparing the costs and health outcomes of health interventions. To build on available evidence, researchers are developing methods to transfer CEA across settings; previous methods do not use all available results nor quantify differences across settings. We conducted a meta-regression analysis of published CEAs of human papillomavirus (HPV) vaccination to quantify the effects of factors at the country, intervention, and method-level, and predict incremental cost-effectiveness ratios (ICERs) for HPV vaccination in 195 countries. We used 613 ICERs reported in 75 studies from the Tufts University’s Cost-Effectiveness Analysis (CEA) Registry and the Global Health CEA Registry, and extracted an additional 1,215 one-way sensitivity analyses. A five-stage, mixed-effects meta-regression framework was used to predict country-specific ICERs. The probability that HPV vaccination is cost-saving in each country was predicted using a logistic regression model. Covariates for both models included methods and intervention characteristics, and each country’s cervical cancer burden and gross domestic product per capita. ICERs are positively related to vaccine cost, and negatively related to cervical cancer burden. The mean predicted ICER for HPV vaccination is 2017 US$4,217 per DALY averted (95% uncertainty interval (UI): US$773–13,448) globally, and below US$800 per DALY averted in 64 countries. Predicted ICERs are lowest in Sub-Saharan Africa and South Asia, with a population-weighted mean ICER across 46 countries of US$706 per DALY averted (95% UI: $130–2,245), and across five countries of US$489 per DALY averted (95% UI: $90–1,557), respectively. Meta-regression analyses can be conducted on CEA, where one-way sensitivity analyses are used to quantify the effects of factors at the intervention and method-level. Building on all published results, our predictions support introducing and expanding HPV vaccination, especially in countries that are eligible for subsidized vaccines from GAVI, the Vaccine Alliance, and Pan American Health Organization.

scholarly journals Predictive Proteomic Signature for the Prognosis of Cervical Cancer

2021 ◽  
Author(s):  
Xiaoyu Ji ◽  
Guangdi Chu ◽  
Jinwen Jiao ◽  
Teng Lv ◽  
Yulong Chen ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Regression Analysis ◽  
Cox Regression ◽  
Predictive Ability ◽  
Enrichment Analysis ◽  
Functional Enrichment Analysis ◽  
The Cancer Genome Atlas ◽  
Functional Enrichment ◽  
Cox Regression Analysis ◽  
Incidence And Mortality

Abstract Objective: Cervical cancer (CC) is one of the most common types of malignant female cancer, and its incidence and mortality are not optimistic. Protein panels can be a powerful prognostic factor for many types of cancer. The purpose of our study was to investigate a proteomic panel to predict survival of patients with common CC. Methods and results: The protein expression and clinicopathological data of CC were downloaded from The Cancer Proteome Atlas (TCPA) and The Cancer Genome Atlas (TCGA) database, respectively. We selected the prognosis-related proteins (PRPs) by univariate Cox regression analysis and found that the results of functional enrichment analysis were mainly related to apoptosis. We used Kaplan–Meier(K-M) analysis and multivariable Cox regression analysis further to screen PRPs to establish a prognostic model, including BCL2, SMAD3, and 4EBP1-pT70. The signature was verified to be independent predictors of OS by Cox regression analysis and the Area Under Curves. Nomogram and subgroup classification were established based on the signature to verify its clinical application. Furthermore, we looked for the co-expressed proteins of three-protein panel as potential prognostic proteins.Conclusion: A proteomic signature independently predicted OS of CC patients, and the predictive ability was better than the clinicopathological characteristics. This signature can help improve prediction for clinical outcome and provides new targets for CC treatment.

scholarly journals Pengaruh Life Style, Brand Image Dan Kualitas Produk Terhadap Keputusan Pembelian iPhone Di Ngawi

2020 ◽  
Vol 9 (1) ◽  
pp. 18-21
Author(s):  
Elsa Dwi Agustina
Keyword(s):  
Regression Analysis ◽  
Product Quality ◽  
Life Style ◽  
Brand Image ◽  
Linear Regression Analysis ◽  
Sampling Technique ◽  
Multiple Linear Regression Analysis ◽  
Purchasing Decisions ◽  
Research Findings ◽  
Simultaneous Influence

The purpose of this study was to determine the effect of partially and simultaneously life style, brand image and product quality on iPhone purchasing decisions at Ngawi. Respondents in this study were all iPhone buyers in Ngawi. Given the large number of samples and not well recorded, then the sample taken by incidental sampling technique. The number of respondents in this study were 40 iPhone buyers in Ngawi. Data collection techniques using questionnaires and documentation. While the data analysis uses multiple linear regression analysis, analysis of determination and hypothesis testing (t test and F test). The research findings show that (1) there is a partial influence of life style on iPhone purchasing decisions in Ngawi; (2) there is a partial influence of brand image on iPhone purchasing decisions in Ngawi; (3) there is a partial effect of product quality on iPhone purchasing decisions in Ngawi; and (4) there is a simultaneous influence on life style, brand image and product quality on iPhone purchasing decisions at Ngawi. Keywords—: lifestyle; brand image; product quality; purchasing decisions.

scholarly journals DETERMINANT ANALYSIS OF PRODUCTIVE AGE WOMEN ON PARTICIPATION OF VISUAL INSPECTION WITH ACETIC ACID (VIA) EXAMINATION IN PALEMBANG

2019 ◽  
Vol 10 (1) ◽  
pp. 32-40
Author(s):  
Selvi Fitriah
Keyword(s):  
Cervical Cancer ◽  
Logistic Regression ◽  
Acetic Acid ◽  
Regression Analysis ◽  
Early Detection ◽  
Visual Inspection ◽  
Multiple Logistic Regression Analysis ◽  
Perceived Barriers ◽  
P Value ◽  
Multiple Logistic Regression

Background:World Health Organization (WHO) showed two of 10.000 women in Indonesia suffer from cervical cancer and an estimated 26 women die each day because cervical cancer. The low early detection performed by productive women lead to cervical cancer incidence is increasing each years. One of prevention cervical cancer is early detection through examination of visual inspection with Acetic Acid (VIA). This study aimed to determinant analyze on productive women towards participation in the VIA in  Palembang. Methods: The research method used cross-sectional design, the sampling technique using proportional accidental sampling consisted of  165 respondents which on the inclusion and exclusion criteria . The data collection was done by using a questionnaire home visit CPC-28 Questionare. The data analysis using chi-square and multiple logistic regression. Results: Results showed the proportion of productive women who participated inspection IVA is only 7.9%. Based on the results obtained by multiple logistic regression analysis found significant relationship between education (p value = 0.037; OR = 0.27) and perceived barriers (p value = 0.015; OR = 13) against participation in the IVA examination in productive women in Palembang. Multivariate analysis showed that the perception of barriers is the dominant factor affecting participation in VIA examination in productive age women in Palembang. It is therefore necessary strategies to overcome perceived barriers by women as socialization. Conclusions: Multiple logistic regression analysis found a significant relationship between education and perceived barriers against participation in the IVA examination in productive age women in Palembang. Keywords: Health beliefs, Cervical cancer, VIA

Applications of Regression Analysis in Shipbuilding Planning and Control

1988 ◽  
Vol 4 (02) ◽  
pp. 94-103
Author(s):  
Kurt W. Hagemeister ◽  
A. N. Perakis
Keyword(s):  
Regression Analysis ◽  
Regression Models ◽  
Construction Process ◽  
Analysis Framework ◽  
Statistical Tool ◽  
Ship Construction ◽  
Planning And Control ◽  
Control And Management ◽  
And Control ◽  
Oil Tanker

This paper offers a regression analysis framework which can be used in the day-to-day planning, control, and management of the ship construction process. The purpose of this study is to provide managers/ analysts with a statistical tool which will help predict future results and aid in better decisionmaking. The framework is presented by using a specific example--the hull block assembly process for a crude oil tanker. Four regression models are selected and analyzed for each of twelve block types. Two of the four models are found to be highly useful for the prediction of assembly man-hour costs. Of these two, the model employing weight as a predictor of man-hours is the most effective. Finally, several areas of future study are offered, based on the results of the regression analysis.

A regression analysis framework for the prediction of runout distance of landslides: a case study for Sichuan

2020 ◽  
Author(s):  
Peng Gu ◽  
Manousos Valyrakis
Keyword(s):  
Regression Analysis ◽  
Analysis Framework ◽  
Mountainous Areas ◽  
Runout Distance ◽  
Road Pavement ◽  
Landslide Volume ◽  
The Impact ◽  
Distance Prediction ◽  
Plane Form

&lt;p&gt;In recent years, the impact of landslides on society has increased due to increasing urbanisation and climate change (as much as up to 30%). In about a decade, around 5000 fatal non-seismic landslides have occurred world-wide resulting in almost 56000 deaths, most of which took place in developing countries, such as China and Philippines. The purpose of studying the characteristics of landslides is to develop a better understanding of their features and to reduce any threat posed by them. Out of these characteristics the runout distance directly determines the impact of the landslide and extend of the affected area which are useful in evaluating risk to infrastructure (such as road pavement or railroad or built structures). Therefore, the study of landslide runout distance prediction has great significance for urban planning and risk assessment, specifically in mountainous areas.&lt;/p&gt;&lt;p&gt;&amp;#160;&lt;/p&gt;&lt;p&gt;This study focuses on conducting a review of previous literature on landslides reported at the region of Wenchuan in Sichuan (China), aiming to identify any trends connecting the cause and effect relationship between landslides in a phenomenological and empirical manner. Specifically, a dataset of landslides (20 due to rainfall and 50 due to earthquake) is used to statistically link, using multiple regression analysis, the travel distance to five main influencing factors, including landslide volume, height of landslide, landslide plane form, landslide average thickness and relative coefficient of friction. Good results are obtained through error minimisation rendering the developed framework as a useful tool for predictive analysis of the potential extend and impact of landslides using historical regional data.&lt;/p&gt;

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