scholarly journals The Hip Morphology Changes with Ageing in Asian Population

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Yingchao Yin ◽  
Ruipeng Zhang ◽  
Lin Jin ◽  
Shilun Li ◽  
Zhiyong Hou ◽  
...  
Keyword(s):  
Linear Regression ◽  
Lower Extremity ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Asian Population ◽  
Multiple Linear Regression Analysis ◽  
The Body ◽  
Neck Shaft Angle ◽  
Hip Anatomy

Objectives. This study aims to determine the changing in hip anatomy parameters with age and reveals the reason for the extorsion of lower extremity in the aged. Design. Retrospective study. Participants. One hundred and forty patients who had received imaging check of the femur and acetabulum between October 2013 and October 2016 were included in this study. Main Outcome Measures. The femoral neck torsion angle (FNTA), neck-shaft angle (NSA), and acetabular anteversion angle (AVA) were measured by an experienced orthopedic surgeon. All the patients’ demographic and physical characteristics including age, sex, body laterality, height, and weight were recorded. The Student t-test, two-way ANOVA, Pearson correlation, and multiple linear regression were used for the statistical analysis. Results. The mean age for male and female was 45.01±15.38 and 49.30±17.63 years, respectively. Outcomes revealed that the NSA on the right side of the body, 133.46±4.46° in male and 134.36±4.71° in female, was statistically higher than the left side. Female FNTA had significantly higher values than male (P<0.01). Two-way ANOVA reveals that FNTA and AVA were correlated with age (P<0.05) but not weight, height, or BMI. NSA was correlated with age, weight, and BMI (P<0.05) but not height. Multiple linear regression analysis showed that only age made an independent contribution to NSA. Conclusions. The NSA and FNTA of Asian population may have an obvious decrease whereas AVA increases with ageing, which reveals the reason for the extorsion of lower extremity with elderly. During hip-related surgery in elderly patients, more attention should be paid to these lower extremity anatomic changes.

scholarly journals The Effect of Smoking and Respiration of Carbon Monoxide among Active Smokers in Palembang, Indonesia

2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Rico Januar Sitorus ◽  
Imelda Gernauli Purba ◽  
Merry Natalia ◽  
Kraichat Tantrakarnapa
Keyword(s):  
Carbon Monoxide ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Body ◽  
Cross Sectional ◽  
Independent Variables ◽  
Cross Sectional Design

Smoking leads to disease and disability as well as harm nearly every organ of the body. Furthermore, smoking of tobacco is known to cause pulmonary dysfunction and lead to complications, pain, or even death. This study aims to measure the risk factors for the respiration of carbon monoxide among smokers. A cross-sectional design was implemented by involving 156 smokers in Karyajaya Subdistrict, Palembang City. The dependent variable was carbon monoxide levels (ppm), while the independent variables were smoking frequency, duration, and the last period of smoking. The carbon monoxide levels (ppm) measured with a PiCO + Smokerlyzer® device from Bedfont Scientific Limited were the research tool and the independent variables of the questionnaire. The pearson Correlation and multiple linear regression were used for the analysis. The results of the multiple linear regression analysis revealed that smoking duration assessment is related to carbon monoxide respiration after controlling smoking frequency, the last period of smoking, and the distance of residence to sources of exposure. The smoker's respiration of carbon monoxide level was 72.5% influenced by the duration, frequency, last period of smoking, and distance of residence to sources of exposure. Reducing the frequency of smoking and stopping may prevent and control carbon monoxide respiration.

scholarly journals The Effect of Automotive Seat Cushion Stiffness Distribution on the Subjective Comfort

2019 ◽  
Vol 8 (2S6) ◽  
pp. 336-341
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
The Body ◽  
Strong Positive Correlation ◽  
Comfort Evaluation ◽  
Selection Of Variables ◽  
Stiffness Distribution

When body pressures are concentrated, sense of fatigue is increased. To confirm this, correlation analysis between the difference in stiffness of seat and comfort using multiple linear regression analysis has been conducted. For the selected three types of seats which are small-, mid-, and large-size seats, respectively, static tests were con-ducted to measure the distribution of the subject's body pressure on the cushion, through which local stiffness distribution were derived. Also, a subjective comfort evaluation was conducted, and analyzed. According to the present analysis results, the correlation coefficients between stiff-ness of hip area and comfort of hip area were observed to be 0.713 and 0.789, respectively, indicating a strong positive correlation. Thus, the comfort of seat perceived by the driver could be seen to have the largest linear correlation with the stiffness of hip area. Selection of variables for the multiple linear regression analysis was implemented by a backward removal method. Differences of stiffness by areas were selected as independent variables, and subjective comfort evaluation results were selected as dependent variables. According to multiple regression analysis, the comfort of the cushion increased when the left and right balance of the stiffness distribution was maintained even if the body pressure distribution of the hip area was concentrated on one side. According to the analysis results, the stiffness of hip area could be seen to have the greatest linear relationship with the overall satisfaction of comfort, in which comfort is planned to be confirmed by actual production of seats

scholarly journals Pengaruh Internal Marketing dan Kualitas Pelayanan BPJS Kesehatan Terhadap Kinerja Melalui Kepuasan Dokter di RSUD Ulin Banjarmasin)

2016 ◽  
Vol 4 (1) ◽  
pp. 58-64
Author(s):  
Rismayanti Rismayanti ◽  
Martha Irene Kartasurya ◽  
Nico L. Kana
Keyword(s):  
Linear Regression ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Internal Marketing ◽  
Physician Satisfaction ◽  
Financing System ◽  
Cross Sectional

Internal marketing and service quality BPJS are things that influence the level of satisfaction of doctors that becomes the deciding factor of doctor performance. The aim of this study is to find the influence of internal marketing and service quality performance of BPJS Kesehatan with doctor performance through doctor satisfaction at RSUD Ulin Banjarmasin. This type of research is analytic with cross sectional design. The research method was developed using a questionnaire based on the literature. The number of respondents who came from the science of internal medicine, pediatric, obstetrical and gynaecology, and surgery and met the inclusion criteria as many as 52 people were surveyed. Data was analyzed using Pearson correlation and multiple linear regression. The results showed correlation between internal marketing to the satisfaction of doctors (r = 0.584, p = 0.000), between service quality BPJS and satisfaction of doctors (r = 0.499, p = 0.001), between the satisfaction of doctors and the performance of doctors (r = 0.583, p = 0.0001). Results of research by multiple linear regression analysis showed that the internal marketing and service quality BPJS have contributed influence on physician satisfaction of 44.6% while 55.4% described other factors. Physician satisfaction have contributed influence on physician performance by 32.7% while 67.3% described other variables outside the model. It was concluded that internal marketing and service quality effect on doctors satisfaction which in turn affect the performance of doctors. Suggested to BPJS Health to improve the financing system INA-CBG’s and disseminate laws and regulations better.

scholarly journals Mindfulness and Its Predictors in Women With Polycystic Ovary Syndrome

2020 ◽  
Vol 24 (3) ◽  
pp. 246-257
Author(s):  
Roghayeh Arbabi Moghaddam ◽  
◽  
Seyedeh Batool Hasanpoor-Azghady ◽  
Leila Amiri Farahani ◽  
Shima Haghani ◽  
...  
Keyword(s):  
Linear Regression ◽  
Polycystic Ovary Syndrome ◽  
Multiple Linear Regression ◽  
Polycystic Ovary ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Multiple Linear Regression Analysis ◽  
Reproductive Age ◽  
Ovary Syndrome

Background: Polycystic Ovary Syndrome (PCOS) is the most common endocrine disorder in women of reproductive age which can cause many problems such as hyperandrogenic symptoms and fertility problems. Objective: The present study aimed to determine the relationship of mindfulness with hyperandrogenic symptoms and demographic and fertility factors in women with PCOS. Methods: This descriptive correlational study was conducted on 181 women with PCOS referred to Firoozabadi and Firoozgar hospitals in Tehran, Iran who were selected using a continuous sampling method and based on inclusion criteria from June 2018 to August 2019. Data were collected using a demographic/fertility form, the modified Ferriman-Gallwey Scale, Ludwig Hair Loss Scale, and Mindfulness Attention Awareness Scale (MAAS). Data were analyzed using independent t-test, one-way ANOVA, Kruskal-Wallis test, Pearson correlation test, and multiple linear regression analysis. Findings: The mean MAAS score of women was 68.61±9.88 and was significantly correlated with age (P=0.01), wife’s education (P=0.001), wife’s occupation (P=0.005), economic status (P=0.02), husband satisfaction with wife’s body and appearance (P=0.02), body mass index (P=0.01), and duration of marriage (P<0.001). According to the multiple linear regression model, the duration of marriage could predict 22% of the variance in overall MAAS score. Conclusion: Mindfulness is associated with some demographic variables, among which the marriage is its predictor. It is recommended to pay attention to the reported variables in preparation of counseling or educational programs, along with other treatments, for women with PCOS.

PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

2019 ◽  
Vol 6 (2) ◽  
pp. 115-130
Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Capital Adequacy ◽  
Annual Reports ◽  
Regression Methods ◽  
Capital Adequacy Ratio ◽  
Negative Effect ◽  
Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

scholarly journals Can chlorophyll-a in meso-oligotrophic shallow waters be estimated using statistical approaches and empirical models from MODIS imagery?

RBRH ◽  
2018 ◽  
Vol 23 (0) ◽  
Author(s):  
Andres Mauricio Munar ◽  
José Rafael Cavalcanti ◽  
Juan Martin Bravo ◽  
David Manuel Lelinho Da Motta Marques ◽  
Carlos Ruberto Fragoso Júnior
Keyword(s):  
Linear Regression ◽  
Spatial Heterogeneity ◽  
Multiple Linear Regression ◽  
Chlorophyll A ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Accurate Estimation ◽  
Shallow Waters ◽  
Chl A ◽  
Input Variables

ABSTRACT Accurate estimation of chlorophyll-a (Chl-a) concentration in inland waters through remote-sensing techniques is complicated by local differences in the optical properties of water. In this study, we applied multiple linear regression (MLR), artificial neural network (ANN), nonparametric multiplicative regression (NPMR) and four models (Appel, Kahru, FAI and O14a) to estimate the Chl -a concentration from combinations of spectral bands from the MODIS sensor. The MLR, NPMR and ANN models were calibrated and validated using in-situ Chl -a measurements. The results showed that a simple and efficient model, developed and validated through multiple linear regression analysis, offered advantages (i.e., better performance and fewer input variables) in comparison with ANN, NPMR and four models (Appel, Kahru, FAI and O14a). In addition, we observed that in a large shallow subtropical lake, where the wind and hydrodynamics are essential factors in the spatial heterogeneity (Chl-a distribution), the MLR model adjusted using the specific point dataset, performed better than using the total dataset, which suggest that would not be appropriate to generalize a single model to estimate Chl-a in these large shallow lakes from total datasets. Our approach is a useful tool to estimate Chl -a concentration in meso-oligotrophic shallow waters and corroborates the spatial heterogeneity in these ecosystems.

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