INDIVIDUAL AND CONTEXTUAL FACTORS AFFECTING DPT IMMUNIZATION IN INDONESIA

Nowadays, diphtheria cases always increase from year to year. Until now, no drug has been found to cure diphtheria, but there is the most effective way of prevention through immunization. It is known that diphtheria sufferers who don’t get immunizations increase every year. The purpose of this study is to determine the individual and contextual factors that influence the status of DPT immunization in Indonesia and its trends and to know the diversity between cities. The data used in this study are Susenas KOR and consumption and expenditure (KP) modules. The results of multilevel binary logistic regression analysis indicate that individual factors that influence the status of DPT immunization are residence classification, highest maternal education, ownership of immunization cards, birth order, and household poverty status. While the contextual are the ratio of posyandu to 100,000 population and PDRB. Characteristics of children aged 12-59 who do not get immunizations tend to live in rural areas, have mothers with the highest education in junior high school, don’t have immunization cards, who born late in households with many children, and come from poor households. Besides that, there is a diversity of characteristics between cities, which amounted to 22,19%.

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Drivers of Cooperation Activity in Kosovo’s Agriculture

Agriculture ◽

10.3390/agriculture9050096 ◽

2019 ◽

Vol 9 (5) ◽

pp. 96 ◽

Cited By ~ 1

Author(s):

Shyhrete Muriqi ◽

Maria Fekete-Farkas ◽

Zsolt Baranyai

Keyword(s):

Rural Areas ◽

Binary Logistic Regression ◽

Sampling Technique ◽

Farm Size ◽

Primary Data ◽

Binary Logistic Regression Analysis ◽

Factors Affecting ◽

Level Of Education ◽

Cooperative Institutions ◽

High Level

This research aims to determine the demographic and economic factors affecting agriculture cooperation activity in Kosovo. Primary data was collected from 249 farmers in Kosovo through structured questionnaires using the random sampling technique. The results show that the level of cooperation among farmers in Kosovo is low due to the lack of trust in the cooperative institutions. The binary logistic regression analysis used in the study shows that location, gender, age, education level, trust, and farm size have significantly influenced the cooperation activity. Findings also highlight that the farmers who live in rural areas, as well as those who are young and have got a higher level of education and trust, show a higher level of activity associated with cooperation, whereas farms managed by (older) men with lower level of education are less likely to cooperate. Estimation indicates that medium sized farms show a high level of cooperation, which can be statistically verified, and only the type of farming has nonsignificant influence in cooperation.

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Rwanda’s Land Policy Reform: Self-Employment Perspectives from a Case Study of Kimonyi Sector

Land ◽

10.3390/land10020117 ◽

2021 ◽

Vol 10 (2) ◽

pp. 117

Author(s):

Mireille Mizero ◽

Aristide Maniriho ◽

Bosco Bashangwa Mpozi ◽

Antoine Karangwa ◽

Philippe Burny ◽

...

Keyword(s):

Rural Areas ◽

Policy Reform ◽

Binary Logistic Regression ◽

Literacy Skills ◽

Land Policy ◽

Binary Logistic Regression Analysis ◽

Self Employment ◽

Expropriation Risk ◽

Main Activity

Rwanda’s Land Policy Reform promotes agri-business and encourages self-employment. This paper aims to analyze the situation from a self-employment perspective when dealing with expropriation risk in rural areas. In this study, we conducted a structured survey addressed to 63 domestic units, complemented by focus groups of 47 participants from Kimonyi Sector. The binary logistic regression analysis revealed that having job alternatives, men heading domestic units, literacy skills in English, and owning land lease certificates (p < 0.05) are positively and significantly related to awareness of land expropriation risk. The decision of the head of the domestic unit to practice the main activity under self-employment status is positively influenced by owning a land lease certificate, number of plots, and French skills, while skills in English and a domestic unit’s size have a positive and significant influence on involvement in a second activity as self-employed. Information on expropriation risk has no significant effect on self-employment. The domestic unit survey revealed that 34.9% of the heads of domestic units only have one job, 47.6% have at least two jobs in their everyday life, 12.7% have a minimum of three jobs, and 4.8% are inactive. The focus group synthesis exposed the limits to self-employment ability and facilities.

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Factors affecting the milk production of dairy cattle in northern rural areas of Bangladesh

International Journal of Agricultural Research Innovation and Technology ◽

10.3329/ijarit.v4i2.22646 ◽

2015 ◽

Vol 4 (2) ◽

pp. 41-45 ◽

Cited By ~ 3

Author(s):

MR Begum ◽

M Anaruzzaman ◽

MSI Khan ◽

M Yousuf

Keyword(s):

Body Weight ◽

Dairy Cattle ◽

Milk Production ◽

Rural Areas ◽

Binary Logistic Regression ◽

Cross Sectional Study ◽

Lactation Period ◽

Cross Sectional ◽

Age At First Calving ◽

Factors Affecting

A cross sectional study was conducted to observe the factors affecting the productive performance of dairy cattle from northern rural areas of Bangladesh during July and September 2013. Data of 105 cows, 85 (80.95%) from local and 20 (19.05%) cows from cross breed, were randomly selected for the study. A binary logistic regression, expressed by odds ratio with 95% confidence interval, was done to determine the association of daily milk production categorized into ? 2 and > 2 liters (L), based on median, with the significant explanatory variables of body weight, age at first calving, lactation period, vitamin use, type of floor and milking person. The result demonstrated that the probability of milk production of >2 L was 6.16, 4.5, 20.65 and 5.7 times higher from the with animal body weight of >140 kg, age at first calving of >36 m, lactation period of >8 m and vitamin use than that of body weight of 140 kg, age at first calving of ?36 m, lactation period of ? 8 m, and not vitamin used respectively. The chance of milk production of > 2 L was 0.25 and 0.22 times lower for mud floor, and owner milking than that of brick floor and gowala (professional milking person) respectively. DOI: http://dx.doi.org/10.3329/ijarit.v4i2.22646 Int. J. Agril. Res. Innov. & Tech. 4 (2): 41-45, December, 2014

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Usaha Ternak Domba sebagai Jalur Keluar dari Kemiskinan Buruh Tani di Perdesaan

Jurnal Ilmu dan Teknologi Peternakan Tropis ◽

10.33772/jitro.v7i3.11396 ◽

2020 ◽

Vol 7 (3) ◽

pp. 189

Author(s):

Sondi Kuswaryan ◽

Cecep Firmansyah ◽

Muhammad Hasan Hadiana

Keyword(s):

Regression Model ◽

Poverty Alleviation ◽

Binary Logistic Regression ◽

Farm Labor ◽

Binary Logistic Regression Model ◽

Factors Affecting ◽

Poor Households ◽

Simple Regression Model ◽

Poverty Status ◽

Household Members

ABSTRAKPenelitian ini bertujuan untuk mengevaluasi kemungkinan usaha ternak domba sebagai aktivitas nafkah untuk pengentasan kemiskinan, serta menentukan jumlah kepemilikan domba yang dapat membawa rumah tangga buruh tani keluar dari kemiskinan. Survey telah dilakukan di Desa Walangsari Kecamatan Kalapanunggal Kabupaten Sukabumi, melibatkan rumah tangga buruh tani miskin sebanyak 65 orang dan 22 orang tidak miskin. Faktor yang berpengaruh terhadap kemiskinan dianalisis menggunakan model regresi logistik biner, sedangkan jumlah kepemilikan domba yang harus dipelihara untuk keluar dari kemiskinan ditentukan dengan model regresi sederhana. Hasil penelitian menunjukkan bahwa usia kepala keluarga, dan pengalaman beternak tidak mempengaruhi kemiskinan, sedangkan jumlah kepemilikan domba, jumlah anggota rumah tangga, keterlibatan dalam kelembagaan, serta sumber pendapatan dari non pertanian mempengaruhi status kemiskinan rumah tangga buruh tani. Pada rata-rata jumlah anggota rumah tangga sebanyak 4,45 orang,untuk keluar dari kemiskinan buruh tani harus memelihara minimal sebanyak 36,63 ekor domba per rumah tangga. Hasil penelitian ini menegaskan bahwa usaha ternak domba dapat digunakan sebagai sarana untuk pengentasan kemiskinan buruh tani, program pengentasan kemiskinan akan efektif bila melibatkan kelembagaan lokal.Kata Kunci: buruh tani, jumlah kepemilikan domba, kemiskinanABSTRACTThis study aims to determine the possibility of sheep farming as a livelihood activity for poverty alleviation and to determine the amount of sheep ownership that can bring farm laborers households out of poverty. Survey research has been carried out in Walangsari Village, Kalapanunggal District, Sukabumi Regency, involving 65 poor farmer households and 22 non-poor households. Factors affecting poverty were analyzed using a binary logistic regression model, while the number of sheep ownership needed to escape poverty was determined by a simple regression model. The results showed that the age of the head of the family, and experience of sheep farmers did not affect poverty, while the number of sheep ownership, number of household members, involvement in institutions, and sources of income from non-agriculture affected the poverty status of farm laborers' households. In the average number of household members as many as 4.45 people, to get out of poverty must maintain a minimum of 36.63 sheep per household. This research explains that sheep farming can be used as a means to reduce the poverty of farm laborers, and poverty alleviation programs will be effective if they involve local institutions.Keywords: farm labor, number of sheep ownership, poverty

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FACTORS AFFECTING ADHERENCE TO RECOMMENDED MEDICATIONS AMONG PATIENTS WITH CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD) IN A SELECTED TEACHING HOSPITAL, SRI LANKA

International Journal of Research -GRANTHAALAYAH ◽

10.29121/granthaalayah.v7.i9.2019.553 ◽

2020 ◽

Vol 7 (9) ◽

pp. 16-29

Author(s):

I.M.M. Dassanayaka ◽

K.K.V.P. Dayananda ◽

Thamara D. Amarasekara

Keyword(s):

Sri Lanka ◽

Teaching Hospital ◽

Electronic Device ◽

Binary Logistic Regression ◽

Chronic Obstructive ◽

Binary Logistic Regression Analysis ◽

Cross Sectional ◽

Obstructive Pulmonary Disease ◽

Factors Affecting ◽

Drug Classes

Background: This study was conducted to determine the prevalence of adherence and factors affecting adherence to recommended medications among patients with COPD in a selected teaching hospital, Sri Lanka. Method: A descriptive cross-sectional design was used among conveniently selected (n=184) participants who attended to the Colombo South Teaching Hospital, Sri Lanka. Data were collected using a pre-tested (n=10) interviewer-administered questionnaire and Morisky Green Levine Scale from January to March 2019. Results: Most of the participants were male (108, 58.7%) and above 65 years old (108, 58.7%). Among all participants, 121 (65.8%) adhered to the recommended medications for COPD, and 63 participants (34.2%) were non-adhered. Demographic factors were not associated with adherence. Number of prescribed respiratory drug classes, number of respiratory medication on the last prescription, number of doses per day, vaccination (pneumococcal, influenza), using an electronic device to remember the time of administering medicine, (p<0.05) were significantly associated with adherence. According to the binary logistic regression analysis, clear and understandable written instructions in dispensing label (p<0.05) were significantly associated with adherence. Conclusions: Most of the participants adhered to the recommended medications for COPD. Health education interventions might enhance the sustainability of adherence to recommended medication among patients with COPD.

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Factors affecting internet use among university students in Sarawak, Malaysia: an empirical study

International Journal of Community Medicine and Public Health ◽

10.18203/2394-6040.ijcmph20200933 ◽

2020 ◽

Vol 7 (3) ◽

pp. 848

Author(s):

M. Mizanur Rahman ◽

M. Taha Arif ◽

Fready Luke ◽

Santha Letchumi ◽

Fatin Nabila ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

University Students ◽

Logistic Regression Analysis ◽

Internet Use ◽

Binary Logistic Regression ◽

Problematic Internet Use ◽

The Internet ◽

Binary Logistic Regression Analysis ◽

Factors Affecting

Background: The internet has become an indispensable tool for communication, academic research, information and entertainment. However, heavy users of the internet lead to less confidence in social skills and the tendency to be isolated. The study aimed to assess the pattern of internet use and factors affecting problematic internet use among university students.Methods: This cross-sectional study conducted among the students of a university in Sarawak, Malaysia. A multistage cluster sampling technique was adapted to select the participants. Data were collected from 463 students by self-administered questionnaire. Hierarchical binary logistic regression analysis was done to determine the potential factors for problematic internet use.Results: The mean age of the students was 22 years, with a standard deviation of 1.6 years. Two-fifths (61.8%) of the students had no problematic internet use. However, 35.4% had moderate and 2.8% had severe problematic internet use. Hierarchical binary logistic regression analysis found that age of the students, year of study, duration of daily internet use and use of social networking like Skype appeared to be potential predictors of problematic internet use (p<0.05).Conclusions: This study was conducted in only one university, thus did not depict the overall scenarios of the country. The implications of the findings are still worth noting in the process of designing internet addiction studies among university students. Overall, this study has unearthed some useful insights which can serve as a guide to more elaborate studies.

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Factors Affecting the Utilization of a Minimum of Four Antenatal Care Services in Ethiopia

Obstetrics and Gynecology International ◽

10.1155/2019/5036783 ◽

2019 ◽

Vol 2019 ◽

pp. 1-6 ◽

Cited By ~ 3

Author(s):

Garoma Wakjira Basha

Keyword(s):

Antenatal Care ◽

Rural Areas ◽

Wealth Index ◽

Complete Information ◽

Healthcare Services ◽

Household Wealth ◽

Routine Care ◽

Factors Affecting ◽

Poor Households ◽

Nationally Representative

Background. Antenatal care is defined as the routine care of pregnant women provided between conception and the onset of labor. This study is aimed to identify factors affecting the utilization of antenatal care (ANC) services in Ethiopia. Methods. The study used data from the nationally representative 2016 Ethiopia Demographic and Health Survey (EDHS). A total of 7,167 mothers who gave birth within five years preceding the 2016 EDHS whose complete information was available in the survey were included in this study. Logistic regression statistical analyses were used to identify factors associated with the utilization of a minimum of 4 ANC services in Ethiopia. Results. Among the 7,167 women included in this study, 2,598 (36.6%) had utilized a minimum of 4 ANC services in Ethiopia. This study showed that factors such as place of residence, region, mothers’ education level, household wealth index, desire for pregnancy, frequency of reading newspaper, frequency of listening to radio, and frequency of watching TV were associated with the utilization of a minimum of four ANC services at 5% level of significance in Ethiopia. Conclusion. Strategies to increase the accessibility and availability of healthcare services are important particularly for communities in rural areas. Financial support that enables mothers from poor households to use health services will be beneficial. Health promotion programs targeting mothers with no education are vital to increase their awareness about the importance of antenatal services.

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Factors Affecting Cambodian Upper Secondary School Students’ Choice of Science Track

International Journal of Sociology of Education ◽

10.17583/rise.2020.4823 ◽

2020 ◽

Vol 9 (3) ◽

pp. 262

Author(s):

Kao Sovansophal ◽

Shimizu Kinya

Keyword(s):

Secondary School ◽

Secondary School Students ◽

Family Background ◽

Binary Logistic Regression ◽

Binary Logistic Regression Analysis ◽

Upper Secondary School ◽

School Students ◽

Factors Affecting ◽

Upper Secondary ◽

And Mathematics

Upper secondary school years have been considered as a critical period for attracting students into future science-related majors and careers; yet, Cambodia is facing a worrisome decline trend in the students’ choice of science track. Through the lens of the making of engineers and scientists conceptual framework, the study aims to investigate the factors affecting Cambodian upper secondary school students’ choice of science track. With self-rating questionnaire survey, which randomly covered 751 11th graders in nine upper secondary schools in three provinces of Cambodia, the researcher collected data on three significant factors namely individual ability and personality, family background and encouragement, and upper secondary school experience and support. Binary logistic regression analysis revealed that performance in science and mathematics subjects, attitude towards science, plan to major in STEM, time spent self-studying in science and mathematics subjects, family encouragement, mother’s education, and school location significantly predicted students’ choice of science track. Some important implications for pedagogical orientation were also discussed.

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FACTORS AFFECTING ACCESS TO FORMAL CREDIT BY SMALLHOLDER FARMERS IN AN GIANG PROVINCE

Science and Technology Development Journal ◽

10.32508/stdj.v18i1.1017 ◽

2015 ◽

Vol 18 (1) ◽

pp. 28-39

Author(s):

Ngoc Nhan Nhu Nguyen ◽

Chinh Duc Pham

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Smallholder Farmers ◽

Binary Logistic Regression ◽

Binary Logistic Regression Analysis ◽

Factors Affecting ◽

Five Factors ◽

Household Assets ◽

Loan Guarantees

This study was conducted to determinefactors that affect the access to formal credit by smallholder farmers in An Giang province. Applying binary logistic regression analysis on a sample of 210 households, we found that the access to formal credit by these households are affected by five factors, namely total value of household assets, participation in organizations, demand for loans from credit institutions, loan guarantees and accumulated income, in which the demand for loans has the greatest impact. From the regression results, we built a model to forecast the access to formal credit by households with 93.8%. precise forecastprobability.

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