scholarly journals Do Socioeconomic Factors Matter in Acreage Owned and Acreage Farmed by Small Livestock Producers in Georgia?

2020 ◽  
Vol 12 (8) ◽  
pp. 42
Author(s):  
David Nii O. Tackie ◽  
Jannette R. Bartlett ◽  
Akua Adu-Gyamfi ◽  
Nicole I. Nunoo ◽  
Bridget J. Perry
Keyword(s):  
Logistic Regression ◽  
Socioeconomic Factors ◽  
Household Income ◽  
Ordinal Logistic Regression ◽  
Farm Size ◽  
Regression Analyses ◽  
Livestock Farming ◽  
Ordinal Logistic Regression Analysis ◽  
Small Livestock ◽  
Small Producers

Although socioeconomic factors may influence acreage owned and acreage farmed by small producers, limited studies have been conducted on this topic in the Southeastern U.S., such as in Georgia. Therefore, the study ascertained the effect of socioeconomic factors on acreage owned and acreage farmed by small livestock producers in Georgia. The data were obtained from a sample of producers, and assessed by using descriptive statistics and ordinal logistic regression analysis. The findings revealed that a majority had farming experience and livestock farming experience of 30 years or less, respectively, 82 and 77%. Corresponding proportions for 20 years or less were 74 and 71%. Additionally, a little less than half (48%) owned over 60 acres of land, and a majority (55%) farmed over 60 acres. The ordinal logistic regression analyses revealed that, of the socioeconomic factors, farming status, education, and household income had statistically significant effects on acreage owned and acreage farmed. The findings suggest that socioeconomic factors matter in farm size in the study area, and they should be taken into consideration when designing programs for small producers.

scholarly journals Do Socioeconomic Factors Matter in Acreage Owned and Acreage Farmed by Small Livestock Producers in Alabama?

2019 ◽  
Vol 11 (10) ◽  
pp. 1 ◽  
Author(s):  
David Nii O. Tackie ◽  
Jannette R. Bartlett ◽  
Nicole I. Nunoo
Keyword(s):  
Logistic Regression ◽  
Socioeconomic Factors ◽  
Ordinal Logistic Regression ◽  
Farm Size ◽  
Livestock Farming ◽  
Convenience Sample ◽  
Ordinal Logistic Regression Analysis ◽  
Small Livestock ◽  
Small Producers ◽  
The Impact

Socioeconomic factors could affect acreage owned and acreage farmed by small producers. However, there is limited research on the issue in the Southeastern U.S., for example, Alabama. Thus, this study examined the impact of socioeconomic factors on acreage owned and acreage farmed by small livestock producers in Alabama. The data were collected from a convenience sample of producers from several counties in Alabama, and analyzed using descriptive statistics and ordinal logistic regression analysis. The results showed that a majority had farming experience of more than 30 years, but had livestock farming experience of less than 30 years. Also, a little over half owned over 60 acres of land, and a majority (58%) farmed over 60 acres. The ordinal logistic regression analyses showed that, of the socioeconomic factors, only age and education had statistically significant effects on acreage owned and acreage farmed. The findings suggest that socioeconomic factors, specifically, age and education, are important to farm size in the study area.

scholarly journals Categorization of Tinnitus Severity for the Mandarin Tinnitus Questionnaire

2019 ◽  
Vol 100 (1) ◽  
pp. NP33-NP38
Author(s):  
Zhaoli Meng ◽  
Fei Zhao ◽  
Zhenxi Chen ◽  
Yun Zheng
Keyword(s):  
Logistic Regression ◽  
Clinical Assessment ◽  
Clinical Judgment ◽  
Psychological Impact ◽  
Ordinal Logistic Regression ◽  
Clinical Severity ◽  
Tinnitus Questionnaire ◽  
Tinnitus Severity ◽  
Ordinal Logistic Regression Analysis ◽  
Cross Tabulation

Background: The Tinnitus Questionnaire is commonly used to evaluate the psychological impact of tinnitus and has been translated into Mandarin. The original English version of the Tinnitus Questionnaire was translated into Mandarin (Mandarin Tinnitus Questionnaire [MTQ]). The MTQ included not the same items compared with original version. Thus, MTQ should have its own severity categorization. Aims/Objectives: The objective of this research was to develop a method to categorize tinnitus patients by clinical severity using scores from the MTQ. Material and Methods: A total of 192 participants with primary complaint of tinnitus were enrolled. Cross-tabulation was used to compare 2 categorization approaches of tinnitus severity. With the first approach, categories were assigned based purely on quartiles of MTQ scores. In the second approach, severity was determined based on ordinal logistic regression. The 2 approaches were verified by comparing the consistency with clinical judgment. Results: Categorization based on quartiles showed low consistency with clinical assessment (κ = 0.33), while categorization based on ordinal logistic regression showed good consistency with clinical assessment (κ = 0.86). Regression-based MTQ score cutoffs were <21 for no problem with tinnitus, 21 to 36 for mild tinnitus, 37 to 47 for moderate tinnitus, and >47 for severe tinnitus. Conclusions and Significance: Tinnitus severity can be categorized accurately using ordinal logistic regression analysis of MTQ scores.

Decline of gustatory sensitivity with the progression of Alzheimer's disease

2015 ◽  
Vol 28 (3) ◽  
pp. 511-517 ◽  
Author(s):  
Mariko Sakai ◽  
Manabu Ikeda ◽  
Hiroaki Kazui ◽  
Kazue Shigenobu ◽  
Takashi Nishikawa
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Ordinal Logistic Regression ◽  
Threshold Values ◽  
Ordinal Logistic Regression Analysis ◽  
And Control ◽  
Detection And Recognition

ABSTRACTBackground:Patients with Alzheimer's disease (AD) manifest various impairments in eating behavior. However, few previous studies have directly investigated the gustatory function of AD patients, and results have been inconsistent.Methods:Thirty-two AD patients (Clinical Dementia Rating (CDR) 0.5/1/2, respectively 11/15/6 patients) and 22 normal control participants were examined to measure detection and recognition thresholds of the four elemental tastes (sweet, salty, sour, and bitter), and their ability to discriminate between tastes. Effects of demographic and clinical factors (age, sex, histories of alcohol and tobacco consumption, and CDR grade) on gustatory threshold were examined using ordinal logistic regression analysis. Performance was compared between AD and control groups.Results:Total threshold values (the sum of threshold grades for the four tastes) for detection and recognition of tastes were significantly higher in the AD group. Detection thresholds for sweet, salty, and bitter, and recognition thresholds for sweet and sour, were also significantly higher in the AD group. Ordinal logistic regression analysis revealed that CDR grade was the only factor that significantly affected both total threshold values. Regarding taste discrimination, there were no significant differences between the AD group and control group.Conclusions:These findings suggest that progression of dementia severity accompanies gustatory decline. Although it seemingly paradoxical, weight loss and preference for sweet tastes are frequently, often simultaneously, observed in AD. Gustatory dysfunction may be partially involved in these symptoms. Thus, the nutritional care of patients with AD could be improved by making the taste of meals stronger, while controlling calorie and mineral intake.

scholarly journals Ordinal Logistic Regression with an Application to Health Service Quality in Raden Mattaher Jambi Hospital

2019 ◽  
Vol 20 (1) ◽  
pp. 35-40
Author(s):  
Feri Tiona Pasaribu ◽  
Ainun Mardia ◽  
Corry Sormin
Keyword(s):  
Logistic Regression ◽  
Health Services ◽  
Ordinal Logistic Regression ◽  
Ordinal Scale ◽  
Test Parameter ◽  
Physical Evidence ◽  
Level Of Satisfaction ◽  
Ordinal Logistic Regression Analysis ◽  
Quality Of Health Services

Health care is a treatment received by the community provided by health workers. The quality of health services will provide satisfaction to health services. Service actions that affect the value of satisfaction are availability and completeness of facilities, physical evidence of administration, reliability of officers, responsiveness of officers, guarantees received by patients and families of patients, and empathy felt by patients. This level of satisfaction assessment is in the form of an ordinal scale that is not satisfied, less satisfied, satisfied and very satisfied. The analysis used to determine the level of satisfaction is by ordinal logistic regression analysis. The sample used in this study is the patient or family of patients at Raden Mattaher Hospital. The stages of data analysis used are the validity and reliability test, parameter estimation, model feasibility test, parameter significance test and the best model selection. The results of the analysis obtained the best models  and  with factors that influence the level of quality of health services at Raden Mattaher Hospital, namely physical evidence, availability and completeness of facilities and responsiveness.

scholarly journals Total small vessel disease burden and functional outcome in patients with ischemic stroke

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242319
Author(s):  
Wi-Sun Ryu ◽  
Sang-Wuk Jeong ◽  
Dong-Eog Kim
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Functional Outcome ◽  
Logistic Regression Analysis ◽  
Small Vessel Disease ◽  
Ordinal Logistic Regression ◽  
Small Vessel ◽  
Vessel Disease ◽  
Ordinal Logistic Regression Analysis

Background Cerebral small vessel disease (SVD) is comprised of lacunes, cerebral microbleeds (CMBs), white matter hyperintensities (WMHs), and enlarged perivascular space (EPVS). We investigated the cumulative effect of SVD on 3-month functional outcome following ischemic stroke using the total SVD score. Methods The total SVD score of 477 acute ischemic stroke patients with adequate brain MRI was analyzed. We used multivariable ordinal logistic regression analysis to investigate the independent impact of total SVD score on ordinal modified Rankin Scale (mRS) score at 3-month after ischemic stroke. Results Mean age was 66±14 years, and 61% were men. The distribution of the total SVD score from 0 to 4 was 27%, 24%, 26%, 16%, and 7%, respectively. The proportion of mRS scores 2 or greater was 16% and 47% in total SVD score 0 and 4, respectively. Multivariable ordinal logistic regression analysis results showed that compared with the total SVD score of 0, total SVD scores of 2, 3, and 4 were independently associated with higher mRS scores with adjusted odds ratios (95% confidence intervals) of 1.68 (1.02–2.76), 2.24 (1.25–4.00), and 2.00 (1.02–4.29). Lacunes, CMBs, WMHs but not EPVS were associated with mRS scores at 3 months. However, the impact of each SVD marker on stroke outcome was smaller than that of the total SVD score. Conclusion We found an independent association between total SVD scores and functional outcome at 3 months following ischemic stroke. The total SVD score may be useful for stratification of patients who are at a high-risk of unfavorable outcomes.

scholarly journals Pola Spasial dan Keputusan Keluarga Bermukim di Permukiman Kumuh Pusat Kota dan Wilayah Pinggiran Kota Malang, Jawa Timur

2021 ◽  
Vol 35 (1) ◽  
pp. 64
Author(s):  
Irvan Ardiansyah ◽  
Satti Wagistina
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Low Income ◽  
Family Members ◽  
Ordinal Logistic Regression ◽  
Economic Conditions ◽  
River Bank ◽  
Ordinal Logistic Regression Analysis ◽  
Economic Needs

Abstrak. Perkembangan kawasan permukiman kumuh di Kota Malang disebabkan oleh faktor urbanisasi dan  penduduk asli yang penghasilan rendah sehingga berakibat pada rendahnya daya beli terhadap rumah layak huni dan berlokasi di zona permukiman ideal. Kedua golongan masyarakat ini mendorong  untuk memilih lokasi bermukim di wilayah yang tidak seharusnya dijadikan kawasan permukiman sehingga menyebakan kemunculan kawasan permukiman kumuh baru. Tujuan penelitian ini adalah; 1) mengetahui pola spasial permukiman kumuh pusat kota dan wilayah pinggiran; 2) mengetahui hubungan kondisi sosial ekonomi masyarakat terhadap permukiman kumuh pusat kota dan wilayah pinggiran. Wilayah kajian permukiman kumuh pusat Kota Malang berada di Kelurahan Kauman, sedangkan wilayah pinggiran berada di Kelurahan Tlogomas. Kedua wilayah tersebut berdasarkan SK Walikota Malang termasuk dalam kawasan permukiman kumuh yang terdapat di Kota Malang. Penelitian ini menggunakan pendekatan kuantitatif. Alat analisis yang digunakan yakni Sistem Informasi Geografis (SIG) dengan metode overlay untuk mengetahui pola spasial permukiman kumuh. Untuk mengetahui keputusan keluarga bermukim di permukiman kumuh digunakan uji regresi logistik ordinal. Hasil penelitian menunjukkan kawasan permukiman kumuh pusat kota memiliki pola linier sepanjang Sungai Kasin. Kawasan permukiman kumuh wilayah pinggiran memiliki pola linier dan memusat. Hasil analisis regresi logistik ordinal menunjukkan keputusan keluarga bermukim di permukiman kumuh secara signifikan dipengaruhi oleh kondisi sosial ekonomi yang meliputi tingkat pendidikan, jumlah anggota keluarga, dan kebutuhan ekonomi untuk permukiman kumah pusat Kota Malang. Keputusan keluarga untuk bermukim di permukiman kumuh wilayah pinggiran dipengaruhi oleh kebutuhan ekonomi, pendapatan, jumlah anggota keluarga, dan jenis pekerjaan.   Abstract. The emergent growing of slums in Malang City has been caused by urbanization and the locals with low income making it hard for them to afford proper housing located in ideal residential zones. These two groups of societies have triggered the choice to reside in the improper areas, and thus new slums emerge. This current study aimed at: 1) describing the spatial pattern of the slums in the down town and suburb area; and 2) investigating the correlation between socio-economic conditions of the societies and the slums in the down towan and suburb area. The slum in down town Malang City was Kauman Sub-district; while the slum in the suburb area was Tlogomas Sub-district. Both locations have been pronounced as the slums within the Decree Statement of the Mayor of Malang. This study was conducted by means of quantitative approach. Geographic Information System (GIS) was employed as the analysis. Overlay method was used to detect the spatial patterns of the slums and ordinal logistic regression was performed to investigate the correlation between socio-economic conditions of the societies and the slums. It has been revealed that the slum in the downtown portrayed a linear pattern along Kasin river bank. The slum in the suburb area showed linear and centered patterns. The ordinal logistic regression analysis resulted in the notion that the decision to reside in the slums has been significantly affected by the socio-economic conditions. The results of ordinal-logistic regression analysis showed that the family's decision to live in the slum was significantly influenced by socio-economic conditions including education level, number of family members, and economic needs for slum in the downtown.  The family's decision to live in the slum areas in surburb area was influenced by economic needs, income, number of family members, and their professions.     

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