Multiple Liner Regression Model Research Articles

Prevalence of Steinert's Myotonic Dystrophy and Utilization of Healthcare Services: A Population-Based Cross-Sectional Study.

Myotonic dystrophy type I (MDI) is the most common muscular dystrophy in adults. The main objectives of this study were to determine the prevalence of MDI in the Community of Madrid (CM) (Spain) and to analyze the use of public healthcare services; a population-based cross-sectional descriptive study was carried out on patients with MDI in CM and data were obtained from a population-based registry (2010-2017). A total of 1101 patients were studied (49.1% women) with average age of 47.8 years; the prevalence of MDI was 14.4/100,000 inhabitants. In the women lineal regression model for hospital admissions, being in the fourth quartile of the deprivation index, was a risk factor (regression coef (rc): 0.80; 95%CI 0.25-1.37). In the overall multiple lineal regression model for primary health care (PHC) attendance, being a woman increased the probability of having a higher number of consultations (rc: 3.99; 95%CI: 3.95-5.04), as did being in the fourth quartile of the deprivation index (rc: 2.10; 95%CI: 0.58-3.63); having received influenza vaccines was a protective factor (rc: -0.46; 95%CI: -0.66-(-0.25)). The prevalence of MDI in the CM is high compared to other settings. Moreover, having any level of risk stratification of becoming ill (high, medium or low) has a positive association with increased PHC consultations and hospital admissions.

Irritable Bowel Syndrome as a Stress Prediction Model in Mexican Dentistry Students

The Irritable Bowel Syndrome is a functional gastrointestinal disorder associated with stress that may occur in the academic context, given that students are exposed to high demands during their education process which can lead to the development of diseases. The purpose of this study was to examine the correlation and predictive value between the Irritable Bowel Syndrome (IBS) with stress in dentistry students at a public university in Mexico, taking into account the gender variable. The design is cross-sectional with 740 dental students. Nowack’s Stress Profile was used as well as the ROMA III criteria to identify IBS. Multiple lineal regression models were built, in which the dependent variable was IBS and the independent ones were the stress profile variables and group data. Such models were built independently for each sex and their results were compared. The IBS model in males was significant in the following variables: IBS = – 1.454 (problem concentration) + .315 (negative valuation) – .390 (social support network) + .513 (type A behavior) – .464 (rest/sleep), with a strength of R2 = .685; F = 75.72; p < .01 which explains 68% of the variance; and for females it was: ISB = – .041 (positive valuation) – .082 (eating habits/nutrition) with a strength of R2 = .643; F = 42.69; p < .01, which explains 64% of the variance. The comparative análisis determined that male dental students are at a greater risk of developing IBS due to stress. Therefore, programs aimed at a timely identification of the stress risk variables would be recommended to prevent consequences to the health, inadequate academic performance and wellbeing of dental students in Mexico.

Is biomass burning always a dominant contributor of fine aerosols in upper northern Thailand?

Biomass burning (BB) is an important contributor to the air pollution in Southeast Asia (SEA), but the emission sources remain great uncertainty. In this study, PM2.5 samples were collected from an urban (Chiang Mai University, CMU) and a rural (Nong Tao village, NT) site in Chiang Mai, Thailand from February to April (high BB season, HBB) and from June to September (low BB season, LBB) in 2018. Source apportionment of carbonaceous aerosols was carried out by Latin Hypercube Sampling (LHS) method incorporating the radiocarbon (14C) and organic markers (e.g., dehydrated sugars, aromatic acids, etc.). Thereby, carbonaceous aerosols were divided into the fossil-derived elemental carbon (ECf), BB-derived EC (ECbb), fossil-derived primary and secondary organic carbon (POCf, SOCf), BB-derived OC (OCbb) and the remaining OC (OCnf, other). The fractions of ECbb generally prevailed over ECf throughout the year. OCbb was the dominant contributor to total carbon with a clear seasonal trend (65.5±5.8% at CMU and 79.9±7.6% at NT in HBB, and 39.1±7.9% and 42.8±4.6% in LBB). The distribution of POCf showed a spatial difference with a higher contribution at CMU, while SOCf displayed a temporal variation with a greater fraction in LBB. OCnf, other was originated from biogenic secondary aerosols, cooking emissions and bioaerosols as resolved by the principal component analysis with multiple liner regression model. The OCnf, other contributed within a narrow range of 6.6%-14.4%, despite 34.9±7.9% at NT in LBB. Our results highlight the dominance of BB-derived fractions in carbonaceous aerosols in HBB, and call the attention to the higher production of SOC in LBB.

Preoperative CA125 as a risk factor for symptom recurrence of adenomyosis after ultrasound-guided high-intensity focused ultrasound ablation surgery

Objectives To investigate the relationship between preoperative CA125 and symptom recurrence in adenomyosis after ultrasound-guided high-intensity focused ultrasound ablation surgery (FUAS). Methods A total of 502 adenomyosis patients after FUAS in Affiliated Nanchong Central Hospital of North Sichuan Medical College from June 2017 to March 2021 were reviewed. Factors associated with symptom recurrence of adenomyosis were analyzed by binary logistic regression model. ROC was used to determine the optimal cutpoint. Magnitude of preoperative CA125 relating to timing of symptom recurrence was measured by cox regression and Kaplan-Meier (K-M) curves. Besides, multiple liner regression model was used to identify the impacting factors for preoperative CA125. Results Multiple binary logistic analysis showed preoperative CA125 was related to symptom recurrence (OR = 1.002, 95%: 1.000～1.004, p = 0.043). The ROC of preoperative CA125 for recurrence validated 35 U/ml had a high sensitivity (82.5%). Preoperative CA125 was related to timing of symptom recurrence (HR = 2.255, 95%: 1.387–3.667, p = 0.001). K-M curves showed medium recurrence time in preoperative CA125 level >35 U/ml group (38.5 months) was shorter than that in CA125 level ≤35 U/ml group (44.5 months) (p = 0.001). Multiple liner regression analyses showed uterus volume and adenomyotic lesions volume positively correlated to preoperative CA125 level, while age negatively correlated to preoperative CA125 level. Conclusion The higher level of preoperative CA125 was related to an earlier onset of symptom recurrence after FUAS.

PENGARUH KEBIJAKAN DIVIDEN DAN UKURAN PERUSAHAAN TERHADAP NILAI PERUSAHAAN PADA PERUSAHAAN MANUFAKTUR SEKTOR INDUSTRI BARANG KONSUMSI YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2015 – 2018

The influence of Dividend Policy and Company’s Size on The Value of the Company of Manufacturing Companies in consumer goods industri Sector Listed on the Indonesia Stock Exchange 2015-2018. This research aims to examine The influence of Dividend Policy and Company’s Size on The Value of The Company of Manufacturing Companies in consumer goods industri Sector Listed on the Indonesia Stock Exchange 2015-2018. The research was conducted in consumer goods industry sector manufacturing companies listed on the Indonesia Stock Exchange (BEI) in the 2015-2018 period. The sampling method used was purposive sampling method, the sample used was 14 companies. The data analysis technique used is descriptive statistics, classic assumption test, normally test, multicolonierity test, autocorrelation test, heteroscedasticity test, multiple liner regression model and hypothesis testing using SPSS 22 for windows. The result showed that Dividend Policy and Company’s Size has simultaneously affect The Value of The Company. In Parsial, The Dividend Policy has a positive and significant effect on The Value of The Company.Meanwhile, the Company Size has a negative but unsignificant effect on The Value of The Company The influence of Dividend Policy and Company’s Size on The Value of the Company of Manufacturing Companies in consumer goods industri Sector Listed on the Indonesia Stock Exchange 2015-2018. This research aims to examine The influence of Dividend Policy and Company’s Size on The Value of The Company of Manufacturing Companies in consumer goods industri Sector Listed on the Indonesia Stock Exchange 2015-2018. The research was conducted in consumer goods industry sector manufacturing companies listed on the Indonesia Stock Exchange (BEI) in the 2015-2018 period. The sampling method used was purposive sampling method, the sample used was 14 companies. The data analysis technique used is descriptive statistics, classic assumption test, normally test, multicolonierity test, autocorrelation test, heteroscedasticity test, multiple liner regression model and hypothesis testing using SPSS 22 for windows. The result showed that Dividend Policy and Company’s Size has simultaneously affect The Value of The Company. In Parsial, The Dividend Policy has a positive and significant effect on The Value of The Company.Meanwhile, the Company Size has a negative but unsignificant effect on The Value of The Company The influence of Dividend Policy and Company’s Size on The Value of the Company of Manufacturing Companies in consumer goods industri Sector Listed on the Indonesia Stock Exchange 2015-2018. This research aims to examine The influence of Dividend Policy and Company’s Size on The Value of The Company of Manufacturing Companies in consumer goods industri Sector Listed on the Indonesia Stock Exchange 2015-2018. The research was conducted in consumer goods industry sector manufacturing companies listed on the Indonesia Stock Exchange (BEI) in the 2015-2018 period. The sampling method used was purposive sampling method, the sample used was 14 companies. The data analysis technique used is descriptive statistics, classic assumption test, normally test, multicolonierity test, autocorrelation test, heteroscedasticity test, multiple liner regression model and hypothesis testing using SPSS 22 for windows. The result showed that Dividend Policy and Company’s Size has simultaneously affect The Value of The Company. In Parsial, The Dividend Policy has a positive and significant effect on The Value of The Company.Meanwhile, the Company Size has a negative but unsignificant effect on The Value of The Company

PENGARUH LIKUIDITAS, LEVERAGE, DAN PERTUMBUHAN PERUSAHAAN TERHADAP PROFITABILITAS (STUDI EMPIRIS PADA PERUSAHAAN MANUFAKTUR SUB SEKTOR MAKANAN DAN MINUMAN YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2015-2019)

The research to test empirically the effect of Liquidity, Leverage, and Company’s Growth on Profitability of Manufacturing Companies in the Food and Beverages Sector Listed on the Indonesia Stock Exchange on 2015-2019. The research was conducted in food and beverage sector manufacturing companies listed on the Indonesia Stock Exchange (BEI) in the 2015-2019 period. The sampling method used was purposive sampling method, the sample used was 17 companies. The data analysis technique used is descriptive statistics, classic assumption test, normally test, multicolonierity test, autocorrelation test, heteroscedasticity test, multiple liner regression model and hypothesis testing using SPSS 24 for windows. The result showed that Liquidity, Leverage, and Company’s Growth has simultaneously affect Profitability. In Parsial, Liquidity has a positive and significant effect on Profitability. Meanwhile, Leverage has a negative but insignificant effect on Profitability. And Company’s Growth has a positive and significant effect on Profitability

Prediction of Self-efficacy and Self-care Behaviors among Diabetic Women Based on their Attitude towards Gestational Diabetes

Background and Aims: Gestational diabetes mellitus (GDM) is the most commonly observed metabolic disorder in pregnancy. Self-care and self-efficacy are recognized as contributing factors to the control of this disease. Nonetheless, these factors might be affected by such issues as one's knowledge and attitude. The present study aimed to assess how attitude towards GDM could predict diabetic women's self-care and self-efficacy during pregnancy. Materials and Methods: This predictive correlational study was conducted on 400 women with GDM referring to health centers and maternity clinics in Mashhad, Iran. Data were collected using a demographic and midwifery questionnaire, a diabetes attitude scale, a self-efficacy questionnaire, and a self-care questionnaire retrieved from the Summary of Diabetes Self-Care Activities (SDSCA) questionnaire. The data were analyzed in SPSS software (version22) using Spearman and Pearson correlation coefficients, as well as multiple liner regression and general linear regression models. Results: A direct linear relationship was observed between the attitude and self-efficacy (p <0/0001; r=0/23). However, no significant relationship was found between attitude and self-care (P=0.365; r=0.45). Based on the results of the general linear regression model, attitude could predict self-efficacy (p <0.0001; F=27.798; β=0.334). There was also a significant direct relationship between self-efficacy and self-care. Conclusion: It can be concluded that midwives could tailor interventions to improve the attitude of women towards GDM to enhance their sense of self-efficacy in order to execute diabetes self-care activities to manage their disease, effectively.

Sex-influenced association between free triiodothyronine levels and poor glycemic control in euthyroid patients with type 2 diabetes mellitus

ObjectiveThe study investigated the association between free triiodothyronine (FT3) and poor glycemic control with different definitions in euthyroid patients with type 2 diabetes mellitus (T2DM). MethodsThis was a cross-sectional study which included 2172 patients from National Metabolic Management Center in Ruijin Hospital. The association between thyroid function and glycated hemoglobin A1c (HbA1c) was determined by multiple liner regression models. The association between FT3 and poor glycemic control was further determined by binary logistic regression models. Two definitions of poor glycemic control (HbA1c ≥ 7% and HbA1c ≥ 8%) were applied when we analyzed the association. ResultsPrevalence of HbA1c ≥ 7% and HbA1c ≥ 8% were 63.8% and 39.3%, respectively. After adjusting for confounding factors, FT3, rather than free tetraiodothyronine (FT4) or thyroid stimulating hormone (TSH), was independently associated with HbA1c (β = −0.104, P = 0.002). Further analysis after gender stratification showed that the association was only found in males (β = −0.164, P < 0.001). We further analyzed the association between FT3 quartiles and poor glycemic control. FT3 quartiles were not significantly associated with the risk of HbA1c ≥ 7% before and after adjusting for confounding factors in both genders. FT3 quartiles were negatively associated with the risk of HbA1c ≥ 8% only in males, independent of traditional risk factors for poor glycemic control (P for trend = 0.030). ConclusionsFT3 in the reference range was significantly associated with reduced risk of HbA1c ≥ 8% in males, independent of traditional risk factors for poor glycemic control.

Attitudes toward aging, social support and depression among older adults: Difference by urban and rural areas in China

BackgroundThe specific impacts of attitudes toward aging on depressive symptoms have not been widely reported in previous studies in China. ObjectivesThe aim is to examine the associations between attitudes toward aging, perceived social support, and depressive symptoms among older adults stratified by rural and urban dwelling. MethodsThis study used a cross-sectional data including 7209 participants, among which 64.6% were urban adults and 35.4% were rural adults. Several multiple liner regression models were used to analysis the data. Three social support types were analyzed as moderators of the relationship between the attitudes toward aging and depressive symptoms. ResultsPositive attitudes toward aging (β=-0.139, P<0.001), negative attitudes toward aging (β=0.284, P<0.001) were significantly associated with lower depressive symptoms among older Chinese adults. Support from family (β=−0.087, P<0.001), friends (β=−0.047, P<0.01) and the government (β=−0.035, P<0.01) were all significantly associated with urban older adults’ levels of depressive symptoms. Only family support (β=−0.109, P<0.001) was associated with lower depressive symptoms among rural older adults’. In addition, family support buffered the effect of negative attitudes toward aging on depressive symptoms for all the older adults, while the moderation effects of support from friends and government only worked for urban elderly. LimitationsA cross-sectional design is limited to establish causal associations. ConclusionsAddressing depression among older adults should focus on improving attitudes toward aging and expanding the availability of social support. Moreover, deeper reforms are needed to address inequalities between urban and rural areas in China.

Factor Affecting Beef Cattle Value Chain Analysis in Nono Benja District, Jimma Zone, Oromia Regional State, Ethiopia

Ethiopia ranks first in Africa and tenth in the world for livestock population and cattle take the lion share of this population of the country. This study was conducted in Nono benja district of Jimma zone, Oromia regional state, Ethiopia with the aim of analyzing and identifying factors affecting beef cattle market supply. Two stage sampling methods were employed to select producers and data were collected from both primary and secondary sources. Primary data were collected from 154 producers, and 20 small traders, 5 large traders, 6 butchers, 8 hotels /restaurants/ and 30 consumers while secondary data were collected from the district and other government organizations. Descriptive statistics and econometric model were used to analyze the data using STATA 13 software. The finding of the study revealed that the multiple liner regression model result revealed that, education, distance to market, use credit, access to market information, distance to nearest feed resources and livestock owned influences market supply significantly. Generally, the existing situation for beef cattle sector with regard to its value chain analysis, integration and coordination is not well stimulated in the area. Therefore, policy aiming at facilitating producer’s education, distance to the market, use credit, access to market information, distance to feed resources, number of livestock owned, strengthening the existing sector and improving linkage of chain actors are recommended to enhance the development of beef cattle value chain at Nono Benja district of south western, Ethiopia. Keywords: Value Chain, actors, beef cattle, Multiple liner regression model and Nono Benja district. DOI: 10.7176/JBAH/10-3-04 Publication date: February 29 th 2020

Maternal dietary patterns during early pregnancy and birth weight in Japan

Abstract Background The average birth weight in Japan has decreased by 200 g in the last 40 years. Only three studies were reported for the association between maternal dietary patterns and birth weight in East Asia, whose results were inconsistent. We examined what maternal dietary patterns were associated with the birth weight in Japan. Methods Totally 22,493 pregnant women were recruited between July 2013 and September 2016 into the Tohoku Medical Megabank Project Birth and Three-Generation Cohort Study. We included 17,287 women who had a full-term single healthy baby into the analysis. Consumption of food and beverage items was evaluated based on food frequency questionnaire at the first-trimester. Dietary patterns were analyzed using a machine learning method of k-means clustering algorithm. Birth weight was obtained from the medical record. The association between dietary patterns and birth weight was analyzed using multiple liner regression model adjusted for potential confounders with multiple imputation method for missing values. Results Dietary patterns were classified into seven groups by cluster analysis: “high in rice (reference) (n = 8046)”, “middle in vegetables, beans, mushrooms, seaweeds and miso-soup (n = 4842)”, “high in fruits (n = 1176)”, “high in bread, dairy and alcohol (n = 1091)”, “high in meat and fish (n = 1049)”, “high in coffee, black tea, soft drinks and confections (high in coffee) (n = 585)”, and “high in vegetables, beans, mushrooms, seaweeds and miso-soup (n = 498)” groups. In multiple liner regression models, birth weight was 22.6 g (95%CI: 0.1 to 45.2 g) heavier in “high in fruits” group than in reference group and 39.4 g (95%CI: 8.6 to 70.3 g) lighter in “high in coffee” group than in reference group. The other groups were not statistically significant. Conclusions High consumption of fruits and high consumption of coffee, black tea, soft drinks and confections during early pregnancy were associated with increased and decreased birth weight, respectively. Key messages We found maternal dietary patterns during early pregnancy using a machine learning method of k-means clustering algorithm. We found maternal dietary patterns which associated with the birth weight in Japan.

Patient selection to optimize near vision performance with a low-addition trifocal lens

PurposeTo assess the impact of ocular biometric variables on the visual performance achieved with a low addition trifocal intraocular lens (MIOL). MethodsRetrospective observational study including 34 eyes. Preoperative measured variables included mean corneal power (Km), corneal regular astigmatism (RA), anterior chamber depth (ACD), axial length (AXL), total irregular astigmatism (IA), spherical aberration (SA) and distance from pupil center to vertex normal (µ). Same variables were retrieved from the three month visit follow-up in addition to the actual lens position (ALP), the calculated effective addition (EA), the IOL centration from vertex normal (d), and the visual acuity defocus curve. The area under the defocus curve was computed along the total curve (TAUC) and ranges for far (FAUC), intermediate (IAUC) and near vision (NAUC). The sample was split in two groups of 17 eyes with TAUCs above and below the mean, and the differences among groups for different ocular parameters were assessed. ResultsThe group of eyes above TAUC of 2.03 logMAR*m-1 showed significantly lower Km and greater AXL and SA. Km was negatively correlated with TAUC and NAUC. NAUC was negatively correlated with IA and positively with d. A multiple lineal regression model including Km, d, and IA predicted NAUC (r-square = 34%). No significant differences between IA and SA were found between preoperative and postoperative values but µ significantly decreased after surgery. ConclusionsThe mean corneal power, irregular astigmatism, and centration from vertex normal should be considered for optimizing the near visual performance with this MIOL.

HUBUNGAN ANTARA MEROKOK dan AKTIFITAS FISIK DENGAN PREVALENSI HIPERTENSI DI INDONESIA (ANALISIS DATA RISKESDAS DAN PROFIL KESEHATAN 2013)

&lt;p&gt;&lt;strong&gt;Introduction:&lt;/strong&gt; Currently hypertension is a major health problem in the world, including in Indonesia. The prevalence of hypertension in various regions in Indonesia varies. several factors are thought to play a role in this variation including the health system, hypertension risk factors and the prevalence of diabetes mellitus. This study aims to analyze the relationship between the health system (health services, health personnel, finance), hypertension risk factors (smoking and physical activity) and the prevalence of diabetes mellitus with differences in the prevalence of hypertension in various provinces in Indonesia. Currently hypertension is a major health problem in the world, including in Indonesia. The prevalence of hypertension in various regions in Indonesia varies. several factors are thought to play a role in this variation including the health system, hypertension risk factors and the prevalence of diabetes mellitus. This study aims to analyze the relationship between the health system (health services, health personnel, finance), hypertension risk factors (smoking and physical activity) and the prevalence of diabetes mellitus with differences in the prevalence of hypertension in various provinces in Indonesia.&lt;/p&gt;&lt;p class="TextAbstract"&gt;&lt;strong&gt;Methods:&lt;/strong&gt; This study used an observational analytic design with an ecological study approach. Data was obtained from 440 districts and 33 provinces in Indonesia. which is taken on a probability basis to size. Samples are men and women aged 18 and above. The independent variable is the prevalence of hypertension while the dependent variable is the health system (health services, health personnel, finance), hypertension risk factors (smoking and sedentary physical activity) and the prevalence of diabetes mellitus. The diagnosis of hypertension is made by a doctor. The data obtained were analyzed using multiple linear regression analysis.&lt;/p&gt;&lt;p class="TextAbstract"&gt;&lt;strong&gt;Results:&lt;/strong&gt; Smoking (b = 0, 0.463; 95% CI = 0.042-0.884; p = 0.032), and sedentary physical activity of more than 6 hours (b = 0.196; 95% CI = 0.030-0.3362; p = 0.022) increased the prevalence of hypertension. R2 from the multiple liner regression model is = 27.1%, and overall the models differ significantly (p = 0.05).&lt;/p&gt;&lt;p class="TextAbstract"&gt;&lt;strong&gt;Conclusion: &lt;/strong&gt;Smoking and sedentary physical activity are associated with the prevalence of hypertension&lt;/p&gt;&lt;p class="TextAbstract"&gt; &lt;/p&gt;&lt;p class="TextAbstract"&gt; &lt;/p&gt;

Associations Between Sonographic Findings and Operative Time of Transumbilical Laparoscopic-Assisted Appendectomy for Acute Appendicitis in Children.

OBJECTIVE. The purpose of this study is to evaluate the association between sonographic findings and the operative time of transumbilical laparoscopic-assisted appendectomy (TULAA) for appendicitis in children. MATERIALS AND METHODS. We included 131 children who underwent ultrasound within 24 hours before TULAA. We evaluated the associations between operative time and patients' demographics, as well as the following sonographic findings: maximum outer wall diameter of the appendix, appendicolith, ascites (not echogenic), echogenic ascites, abscess formation, increased intraabdominal fat echo in the right lower quadrant (RLQ; 3-point scale), and the location of the appendix (three locations). The results were analyzed using simple linear regression or the t test and a multiple liner regression model. RESULTS. The mean (± SD) patient age was 9.50 ± 2.92 years (range, 3-15 years), and the mean operative time was 73.04 ± 36.56 minutes (range, 25-210 minutes). Univariate analysis showed that higher body mass index, greater maximum outer wall diameter of the appendix, higher grade of intraabdominal fat echo in the RLQ, presence of appendicolith, presence of echogenic ascites, abscess formation, and location of the appendix in the pelvis were associated with increased operative time. Multivariate analysis found that abscess formation and higher grade of increased intraabdominal fat echo in the RLQ were independently associated with operative time (both p < 0.05). CONCLUSION. Preoperative sonographic findings of abscess formation and increased intraabdominal fat echo in the RLQ were factors independently associated with prolonged operative time for TULAA. On the basis of these sonographic findings, surgeons may predict additional surgical procedures, including abscess aspiration or adhesiolysis, and operative time before beginning the operation.

Prediction of protein content in rice using a near-infrared imaging system as diagnostic technique

The aim of this research was to determine the rice protein content utilizing a NIR imaging system. The developed imaging system utilized a NIR camera which installed automatically exchanged filters with the wavelength range from 870 nm to 1014 nm. Multiple liner regression (MLR), partial least square regression (PLSR), and artificial neural network (ANN) models were employed as data analysis methods for 6.18%-9.43% rice protein detections within both the NIR imaging system and commercial NIRS. A total of 180 rice samples were used in this study, of which 120 random samples were selected as a calibration set for the MLR and PLSR models. Moreover, for establishing the back-propagation ANN model, the same 120 samples were divided into two parts, 80 samples were used for network training and the other 40 were established as the monitoring set. To compare with the results of MLR, PLSR, and ANN models, the remaining 60 of the total 180 samples were established as the validation set. Applying an MLR linear regression model composed of five wavelengths; the NIR imaging system successfully detected rice protein content. The predicting results of rval2 and SEP were 0.769 and 0.294%, respectively. In PLSR model, utilizing the imaging system obtained the results of rval2 = 0.782, and SEP = 0.274% within the wavelength range from 870 nm to 1014 nm. Five significant wavelengths selected by the MLR model were the same as the input data of the ANN model, and the prediction results were rval2 = 0.806, and SEP = 0.266%. The prediction results indicated that the developed NIR imaging system has the advantages of simple, convenient operation, and high detection accuracy as well as it presents commercial potential in non-destructive detection of rice protein content. Keywords: non-destructive detection, near-infrared imaging system, inner quality, rice, protein content, agriculture product DOI: 10.25165/j.ijabe.20191202.4709 Citation: Lin L-H, Lu F-M, Chang Y-C. Prediction of protein content in rice using a near-infrared imaging system as diagnostic technique. Int J Agric & Biol Eng, 2019; 12(2): 195–200.

The Prediction of Energy Consumption Using Multivariate Regression and Artificial Neural Network Models: Transport in the GCC

Knowing how energy consumption correlates with transport sector in GCC can offer crucial strategies for planning and implementing policies in this sector. Therefore, an accurate prediction of energy consumption in transport and precise planning in energy consumption so as to effectively control the energy demand in the transport sector is crucial. Air pollution and public health are two of the most vital environmental issues. Urbanization, economic development, the growth of population, transportation, and energy consumption are viewed as the common factors that cause air pollution in towns and cities. The goal of this study is to use multiple liner regression (MLS) and artificial neural network (ANN) models for the prediction of energy consumption for the transport sector in GCC. Data on how energy is used in the transportation sector was incorporated as the output variable of predictive models. Moreover, this paper will discuss how advanced technology can come in to solve problems related to transport in the GCC.

A3672 Role of waist circumference in predicting elevated blood pressure among children and adolescents with normal body mass index

Objectives: To examine the waist circumference (WC)'s predict role to elevate blood pressure (BP) among children and adolescents aged 7–17 years old who have normal body mass index (BMI), and provide scientific evidence for prevention and intervention of elevated BP in children and adolescents. Methods: Data were combined from the China Health and Nutrition Survey, which was conducted during the period of 1993–2011. A total of 9038 children and adolescents aged 7–17 years old who had normal BMI were included in the final data analysis. Data were on gender, age, WC, systolic blood pressure (SBP), diastolic blood pressure (DBP), and the prevalence of elevated BP. After adjusted for sex and age, the multiple liner regression model was used to analyze the trend in mean BP with increase of WC levels. Logistic regression model was conducted to examine the trend in elevated BP prevalence and the risk of elevated BP with increase of WC levels. Results: Both the mean value of BP and prevalence of elevated BP showed rising trends with the increase of WC levels among children and adolescents with normal BMI (SBP/DBP ranged from 96.0/63.1 mmHg to 102.4/68.0 mmHg; prevalence of elevated BP ranged from 6.9% to 21.8%, all P < 0.001), independently of age and sex. When WC < P25 as the referent group, the risk for elevated BP were 1.39, 1.70, 2.21 and 3.10, for groups of WC > = P25 and WC < P50, WC > = P50 and WC < P75, WC > = P75 and WC < P90, and WC > = P90, respectively, independently of age and sex(P < 0.01). Conclusion: WC can be used as an important predictor of elevated BP in children and adolescents. BMI should be in combined with WC in order to more effectively prevent risk of elevated BP in children and adolescents.

Social Factors Contributing to the Development of Allostatic Load in Older Adults: A Correlational- Predictive Study

Objetivo: determinar si factores sociales como las condiciones de vivienda, la satisfacción con la casa, las características del vecindario, el apoyo social, las relaciones familiares y la asistencia a la iglesia contribuyen al desarrollo de la carga alostática en los adultos mayores. Materiales y método: se realizó un estudio correlacional y predictivo de corte transversal. Los instrumentos utilizados fueron una hoja de datos sociodemográficos, el instrumento de relaciones familiares percibidas, el cuestionario de Apoyo Social y la Escala de Movilidad Activa en el Entorno Comunitario, versión corta. Los biomarcadores de carga alostática utilizados fueron: presión arterial sistólica y diastólica, índice de masa corporal, circunferencia de la cintura, relación cintura-cadera, colesterol total, lipoproteína de alta densidad, hemoglobina glicosilada, fibrinógeno y proteína C-Reactiva. La muestra se calculó para para el contraste de la hipótesis de no relación (R2 = 0), en un modelo de regresión lineal múltiple con 11 covariables, con un nivel de significancia del .05 y una potencia del 90 % (.90), cuando el coeficinete de determinación poblacional (R2) es .15, tamaño de muestra que resultó en 131 adultos mayores. El análisis estadístico incluyó medidas descriptivas y modelos lineales generalizados. Resultados: los participantes tenían un riesgo medio o alto de carga alostática. El análisis del modelo de regresión lineal multivariante mostró que las mejores condiciones de vivienda, la satisfacción con la propia casa, la presencia de calles sin salida y la asistencia a la iglesia reducen la carga alostática y que el tráfico peligroso aumenta la carga alostática. Conclusiones: existen varios factores sociales que contribuyen al desarrollo de la carga alostática en adultos mayores. Es necesario crear estrategias de cuidado de enfermería hacia el entorno social para disminuir la carga alostática en el adulto mayor.

PRODUCTION AND EXPORT FOR DATES IN ARAB COUNTRIES

the objective of this research is to study the production and consumption position and foreign trade for dates in the Arab countries during the period (2000- 2012). The results indicate: (1) The Arab production capacity for dates represents about 74 percent of international production capacity for dates that reach about 6963.5 thousand tons. (2) Increasing Arab production capacity for dates at annual rate estimated by 1.08 percent of annual average for Arab production capacity. (3) The Increase in total Arab exports for dates represents about 61.04 percent of gross international exports for dates that estimate by 632.2 thousand tons. (4) The results of the estimated multiple liner regression model indicate that international export quantity and Arab export price for dates are the effective variables on Arab export quantity for dates, while price rate between average Arab export price and average export price for competitive countries (Iran and Pakistan) are the effective variables on Arab export quantity in double log model. (5) The results of efficiency in dictators for Arab export of dates show thea) The rear a surplus in trade balance for Arab dates during the period (2000- 2012) ranged between 321.1- 90.5 million $. (b) Increasing the cover percentage of exports to imports value for Arab dates through the studied period that ranged between 192.1%- 417.2%. (c) Instability coefficient for date's exports for Algeria, Egypt, Iraq, Oman, Saudi Arabian, and Tunisia estimated by ٤.88%, 26.7%,21.01%, 10.6%, 12.9% and 12.04% respectively.

Development of Parking Demand Model for Private Hospital in Developing Country (Case Study of Denpasar City, Indonesia)

Denpasar City is the capital of Bali Province and the center of activities in Bali, Indonesia. The population continue to increase with the annual growth rate of 2%. As the number of population increase, the number of facilities including health facility also continue to increase. The traffic volume is predominated by private motor vehicle (where 80% is motor cycle) as lack of public transport service available. The trip attraction to hospital increases, however parking spaces provided are very limited. As the results the visitors usually park their vehicles on street around the hospital. This has caused a significant reduction in the road capacity. Therefore, it is required to accurately estimate parking demand both for car and motor cycle. The objectives of this study are to analyze parking characteristics and to develop parking demand models for car and motor cycle. Five private hospitals were considered in this study. Parking data were collected and used to model parking demand based on simple and multiple liner regression models. The results of this study indicated that the parking index for all private hospitals has exceeded 1. The number of beds for room class 1 was found to be the main predictor for parking demand for car. However, the number of hospital’s employees was found to be the best predictor for parking demand for motor cycle.