scholarly journals The status of health promotion lifestyle and its related factors in Shandong Province, China

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Qianqian Liu ◽  
Shusheng Huang ◽  
Xiaoyuan Qu ◽  
Aitian Yin
Keyword(s):  
Health Promotion ◽  
Logistic Regression ◽  
Behavioral Intention ◽  
Logistic Regression Model ◽  
Education Level ◽  
Shandong Province ◽  
Related Factors ◽  
Gender Education ◽  
The Status ◽  
Per Capita

Abstract Objectives This study aims to explore the status of Shandong Province, China residents’ health promotion lifestyle and its influencing factors, especially to explore how health attitude affects health promotion lifestyle, thus can make targeted recommendations for health promotion in China and similar areas. Methods 1800 adults were selected from urban and rural areas of Shandong Province, China, using multistage stratified, cluster random sampling method. A survey was conducted face-to-face from March to May, 2018, using Health Promotion Lifestyle Profile and Health Attitude Questionnaire. The between-group measured data were compared by One-way ANOVA or t-tests. The correlation between the health attitude and health promotion lifestyle was examined by Pearson correlation. Logistic regression model was used to examine the related factors influencing health promotion lifestyle. Health promotion lifestyle is the dependent variable, and gender, education level, annual family per capita income and health attitude are the independent variables. Results The mean (SD) of HPLP-IICR total score of the participants was 82.12(16.63). 54.50% of the participants had poor or average health promotion lifestyle, while 45.50% had good or excellent health promotion lifestyle. Significant differences existed in health promotion lifestyle among different gender, education level, income level, marital status, and health attitude (Ps < 0.001). Multivariable Logistic regression model found that male (OR = 0.35, 95% CI: 0.12–0.34), high school education level (OR = 0.57, 95% CI:0.17–0.41), junior middle school & below (OR = 0.42; 95% CI:0.12–0.33), annual family per capita income with < 10,000 CNY (OR = 2.53, 95% CI:1.24–2.06; OR = 2.14, 95% CI:1.08–3.12), low health affection (OR = 0.39, 95% CI:2.15–4.22), and low health behavioral intention (OR = 0.21; 95% CI: 2.33–5.29) were statistically significant correlates of average or poor health promotion lifestyle. Conclusions The health lifestyle needs to be further promoted in Shandong Province, China. The government and social sectors are encouraged to make more efforts to improve the accessibility and quality of health services. Meanwhile, individual responsibility cannot be ignored as well. More affective factors and operable measures should be added to enhance health affection and health behavioral intention, so as to enhance health promotion lifestyle.

scholarly journals The Current Status of Health Promotion Lifestyle and Its Related Factors in Chinese Residents

2021 ◽  
Author(s):  
Qianqian Liu ◽  
Shusheng Huang ◽  
Xiaoyuan Qu ◽  
Aitian Yin
Keyword(s):  
Health Promotion ◽  
Logistic Regression ◽  
Regression Model ◽  
Behavioral Intention ◽  
Logistic Regression Model ◽  
Pearson Correlation ◽  
Current Status ◽  
Related Factors ◽  
Affective Factors ◽  
Factors Influencing

Abstract Objectives: This study aimed to explore the current status of Chinese residents' health promotion lifestyle and its influencing factors, especially explore how health attitudes affect health promotion lifestyle, thus can make targeted recommendations for health promotion in China and similar areas.Study design: This study was based on a household survey of 1769 adults aged 18 and over from Shandong Province of China conducted in 2018.Methods: A cross-sectional, face-to-face survey design was used. The between-group measured data were compared by One-way ANOVA or t-tests. The correlation between the health attitude and health promotion lifestyle was examined by Pearson correlation. Logistic regression model was used to examine the related factors influencing Chinese residents’ health promotion lifestyle.Results: The health promotion lifestyle of residents in Chinese residents was not good. Significant differences existed in health promotion lifestyle among different genders, education levels, income levels, marital status, and health attitude (Ps <0.001). Multivariable Logistic regression model found that gender, education level, annual family per capita income, affection and behavioral intention in health attitude were key factors influencing Chinese residents’ health promotion lifestyle (Ps<0.001). Conclusions: Individual health responsibilities need to be further strengthened. More affective factors and operable measures should be added to enhance health affection and health behavioral intention, so as to enhance health promotion lifestyle.

scholarly journals DETERMINANT OF MICROCREDIT REPAYMENT

2016 ◽  
Vol 19 (1) ◽  
pp. 57-80
Author(s):  
Farida Farida ◽  
Hermanto Siregar ◽  
Nunung Nuryartono ◽  
Eka Intan KP
Keyword(s):  
Logistic Regression ◽  
Moral Hazard ◽  
Food Consumption ◽  
Education Level ◽  
Screening Process ◽  
Loan Repayment ◽  
Central Java ◽  
Credit Default ◽  
Gender Education

This paper investigate the determinants of microcredit repayment by employing the logistic regression on micro-business households in Pati, Central Java. The result of this study reveals that loan repayment affected significantly by the business lines, food consumption spending, side job, other loan sources, collateral, and credit constrained. Interestingly, the result concludes that the loan repayment are no longer influenced by moral hazard, since the characteristics such as gender, education level, age, experience do not significantly encourage borrowers to repay. This paper also conform the important role of peer-screening process on hindering the credit default.

Perceived Institutional Campus Image and its Entrance Edifice

2018 ◽  
Vol 43 (3) ◽  
pp. 52-58
Author(s):  
Babu Rajeswaran ◽  
Thirumaran Kesavaperumal
Keyword(s):  
Logistic Regression ◽  
Visual Perception ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Belief System ◽  
Architectural Elements ◽  
The Status ◽  
Physical Features

Entrance edifice of the institutional campus artifice as the visible representation of status in their society. The design shall stand to show the status of the person who develops the setting, it could signify the power of the person or the entire place, and it could sometimes support certain cosmological belief system that prevails in that culture too. This study intended to identify the entrance edifice Physical features that influence observer's perception of the image of the institutional campus. To accomplish this, physical features of the entrance edifice and its characters were identified and developed into questionnaire material. A logistic regression model was adopted to analyze the Physical features of Entrance Edifice. The findings found the followings: (i) Physical features of Entrance Edifice influence the Visual perception of the Institutional Campus. (ii) The Physical features were found to impact the Visual perception of the Institutional campus in the order of Form Identity, Architectural Elements, Scale and Portion, color and material. These variances are based on the observers' perception, which can be integrated into the Institutional Campus Entrance Edifice design to strengthen the Image of the Institutional campus. It is clear that Entrance Edifices have the potential to build the image for a greater content and purpose through its Form Identity, Architectural Elements, Scale and Portion, color and material. Nevertheless, the entrance design could be a powerful element to build up the image of the physical settings it serves.

scholarly journals Non-participation modestly increased with distance to the examination clinic among adults in Finnish health examination surveys

2017 ◽  
Vol 46 (7) ◽  
pp. 752-754
Author(s):  
Jaakko Reinikainen ◽  
Perttu Saarsalmi ◽  
Tommi Härkänen ◽  
Pekka Jousilahti ◽  
Juha Karvanen ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Population Health ◽  
Logistic Regression Model ◽  
Additional Analysis ◽  
Health Examination ◽  
Participation Rates ◽  
Related Factors ◽  
Health Related ◽  
At Home

Aims: Health examination surveys (HES) provide important information about population health and health-related factors, but declining participation rates threaten the representativeness of collected data. It is hard to conduct national HESs at examination clinics near to every sampled individual. Thus, it is interesting to look into the possible association between the distance from home to the examination clinic and non-participation, and whether there is a certain distance after which the participation activity decreases considerably. Methods: Data from two national HESs conducted in Finland in 2011 and 2012 were used and a logistic regression model was fitted to investigate how distance was related to non-participation. Results: We found out that non-participation modestly increased with distance to the examination clinic. An additional analysis indicated that the option of having an examination at home may decrease the effect of distance to participation. Conclusions: Long distances from home to the examination clinic are one reason for low participation activity. Possible bias caused by these differences in participation could be decreased by providing the option of a home examination.

scholarly journals The Influence of Borrowers' Language Features on P2P Lending

2021 ◽  
Author(s):  
Zhengwei Ma ◽  
Dan Zhang
Keyword(s):  
Logistic Regression ◽  
Information Asymmetry ◽  
Logistic Regression Model ◽  
Risk Control ◽  
Education Level ◽  
Probability Of Default ◽  
Language Function ◽  
Linguistic Features ◽  
P2p Lending ◽  
Default Rate

Abstract Under the background of the reshuffle of the P2P market in China, this paper investigates the influence of four borrower's language features on their funding and default rate based on language function theories. In our study, we use a logistic regression model and the empirical results show that: the more redundant the borrower's language expression is, the more open and objective the content is, and the more attention is paid to the punctuation details, the easier it is to obtain the loan successfully. When the borrower's description is more redundant and more attention is paid to the punctuation details, the probability of default would become lower. Taking the education level into consideration, we find that the negative relating effect between the description redundancy and the default rate would be lower with the increase of the borrower’s education level. Therefore, we can conclude that the four linguistic features of borrowers which are defined in this paper can alleviate the information asymmetry problem of P2P lending to some extent and the borrower's linguistic features can be included into the risk control system.

scholarly journals Challenges of and Opportunities for Market Access by Pineapple Agripreneurs in Rangwe Sub County, Homa Bay County, Kenya

2021 ◽  
pp. 130-140
Author(s):  
Winstone Asugo Nyaguti ◽  
Job Kibiwot Lagat ◽  
Hillary Bett ◽  
Fredrick Onyango Ogutu
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Model ◽  
Market Access ◽  
Descriptive Analysis ◽  
Household Head ◽  
Education Level ◽  
Primary Data ◽  
Limited Attention ◽  
Survey Tool

Pineapple farming is among the fastest-growing agricultural sub-sectors in Homa Bay County, Kenya specifically Rangwe sub-county. However, limited attention has been given to the market access of this produce. Evidenced by vast quantities of pineapples harvested from the farms and stacked along main highways without targeting a specific market. This result to a small portion being sold and the rest deteriorating, consequently reducing returns for pineapple agripreneurs. Therefore, this paper sought to determine those factors that influences access to formal market by pineapple agripreneurs and as well as find out challenges of and opportunities for accessing formal markets by the Rangwe pineapple agripreneurs. The survey was undertaken in Rangwe Sub-county, and multisampling method was used to select a sample of 183 pineapple agripreneurs from the study area, primary data was collected using a semi-structured survey tool. Data was analyzed by descriptive analysis and Logistic regression model. Results indicated that pineapple agripreneurs were faced with numerous challenges in accessing pineapple market, also there existed several market access opportunities for pineapple agripreneurs. The results of logistic regression analysis revealed extension contacts, education level and price of pineapple as factors that were positively and statistically significant in influencing access to formal markets. While those that were statistically and negatively influencing access to formal market comprised of; age of household head, household size, and type of road. The study recommends;  improvement of road infrastructure in pineapple producing areas so as to improve on their market access; development of policies that encourages capacity building of pineapple agripreneurs in Rangwe sub-county 

scholarly journals Modeling and Analyzing the Factors Affecting the Mortality of Pedestrians in Urban Accidents

2018 ◽  
Vol 14 (4) ◽  
pp. 10-21
Author(s):  
Ahmet Tortum ◽  
Alireza Motamadnia
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Motor Vehicle ◽  
Binary Logistic Regression ◽  
Education Level ◽  
Road Surface ◽  
Binary Logistic Regression Model ◽  
Factors Affecting ◽  
Surface Conditions

Abstract The nature of urban and rural accidents has been different from each other in some of the factors and even the severity of damage rate, mayhem, and death. In this research, using statistical methods and binary logistic regression model, we have addressed to analyze important parameters such as age, gender, education level, the color of the pedestrian dress, season of accident, time of accident, the speed of the vehicle colliding with pedestrians and road surface conditions at the time of accident on the way of death (at the scene of the incident or in the hospital) pedestrians who have been traumatized. After the creation of the binary logistic regression model, it was determined that only the parameters of speed and the accident time have been significant in the level less than 5%. And other parameters such as age, gender, the season of accident occurrence, the color of the pedestrian dress, road surface conditions and education level had no significant effect in terms of statistical on the incidence of mortality arising from a pedestrian accident with the motor vehicle. The results revealed that by adopting decisions related to the traffic calming, attention to passages lighting and brightness the mortality rate of a pedestrian due to the urban accidents can be reduced.

That-variation in German and Spanish L2 English

2014 ◽  
Vol 6 (2) ◽  
pp. 271-299 ◽  
Author(s):  
STEFANIE WULFF ◽  
NICHOLAS LESTER ◽  
MARIA T. MARTINEZ-GARCIA
Keyword(s):  
Logistic Regression ◽  
Second Language ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Native Speakers ◽  
Related Factors ◽  
Cue Validity ◽  
L2 Learners ◽  
Complement Clauses

abstractIn certain English finite complement clauses, inclusion of the complementizer that is optional. Previous research has identified various factors that influence when native speakers tend to produce or omit the complementizer, including syntactic weight, clause juncture constraints, and predicate frequency. The present study addresses the question to what extent German and Spanish learners of English as a second language (L2) produce and omit the complementizer under similar conditions. 3,622 instances of English adjectival, object, and subject complement constructions were retrieved from the International Corpus of English and the German and Spanish components of the International Corpus of Learner English. A logistic regression model suggests that L2 learners’ and natives’ production is largely governed by the same factors. However, in comparison with native speakers, L2 learners display a lower rate of complementizer omission. They are more impacted by processing-related factors such as complexity and clause juncture, and less sensitive to verb-construction cue validity.

scholarly journals Disparities in the Use of Neoadjuvant Therapy for Resectable Pancreatic Ductal Adenocarcinoma

2020 ◽  
Vol 18 (5) ◽  
pp. 556-563 ◽  
Author(s):  
Jordan M. Cloyd ◽  
Chengli Shen ◽  
Heena Santry ◽  
John Bridges ◽  
Mary Dillhoff ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Pancreatic Ductal Adenocarcinoma ◽  
Neoadjuvant Therapy ◽  
Education Level ◽  
Ductal Adenocarcinoma ◽  
Multivariable Logistic Regression Analysis ◽  
Median Income ◽  
Related Factors ◽  
T Stage ◽  
Immediate Surgery

Background: Current guidelines support either immediate surgical resection or neoadjuvant therapy (NT) for patients with resectable pancreatic ductal adenocarcinoma (PDAC). However, which patients are selected for NT and whether disparities exist in the use of NT for PDAC are not well understood. Methods: Using the National Cancer Database from 2004 through 2016, the clinical, demographic, socioeconomic, and hospital-related characteristics of patients with stage I/II PDAC who underwent immediate surgery versus NT followed by surgery were compared. Results: Among 58,124 patients who underwent pancreatectomy, 8,124 (14.0%) received NT whereas 50,000 (86.0%) did not. Use of NT increased significantly throughout the study period (from 3.5% in 2004 to 26.4% in 2016). Multivariable logistic regression analysis showed that travel distance, education level, hospital facility type, clinical T stage, tumor size, and year of diagnosis were associated with increased use of NT, whereas comorbidities, uninsured/Medicaid status, South/West geography, left-sided tumor location, and increasing age were associated with immediate surgery (all P<.001). Based on logistic regression–derived interaction factors, the association between NT use and median income, education level, Midwest location, clinical T stage, and clinical N stage significantly increased over time (all P<.01). Conclusions: In addition to traditional clinicopathologic factors, several demographic, socioeconomic, and hospital-related factors are associated with use of NT for PDAC. Because NT is used increasingly for PDAC, efforts to reduce disparities will be critical in improving outcomes for all patients with pancreatic cancer.

scholarly journals Evaluation of Workload and Human Errors in Nurses

2019 ◽  
Author(s):  
Mahshid Naseri Karimvand ◽  
Naser Hasheminejad ◽  
Ali Faghihi Zarandi ◽  
Yones Jahani
Keyword(s):  
Logistic Regression ◽  
Regression Model ◽  
Human Error ◽  
Logistic Regression Model ◽  
Control Strategies ◽  
Statistical Significance ◽  
Medical Sciences ◽  
Related Factors ◽  
Human Errors ◽  
Significance Level

Background: Identification of human errors and their related factors in nurses dealing with the health of humans is important. Considering that much workload can increase the risk of human error, this study aimed to investigate the relationship between workload and human errors among nurses working in educational hospitals of Kerman University of Medical Sciences. Methods: This descriptive-analytical study was performed on 145 nurses from educational hospitals affiliated to Kerman University of Medical Sciences in 20. The workload was evaluated using the NASA-TLX questionnaire and human errors with SHERPA technique. The statistical test used was logistic regression model and the statistical significance level was considered <0.05 and the samples were selected randomly. The sample size was selected based on the percentage of functional errors reported by a study on human error assessment related to the duties of nurses in Semnan. Results: A total of 138 probable errors were detected in the nursing staff of these hospitals, 74% of nurses committed errors in seven main duties during their service. Patient medication with the highest frequency (34%) followed by the injection of the drug to the patient with a frequency of 23% were the most frequently committed errors by nurses. The findings of the research showed that workload in 53.1% of the nurses was very high and in 43.1% of the nurses was high, the results of the logistic regression model showed that there was no significant relationship between errors and workload in nurses. Conclusion: The results of the study showed that the average workload and human error in the nurses were high. Therefore, control strategies such as holding training sessions, implementation of clinical governance program in all wards, recruitment of adequate nurses, reduction of workload, reduction of work hours and the appropriate patient/nurse ratio should be given attention by the hospital managers depending on conditions; as well as the prevention of the two reported errors should be given top priority in corrective measures.

Sign in / Sign up

Export Citation Format

Share Document