ASSOCIATED FACTORS TO TEACHER MOBILITY IN THE MUNICIPALITY OF RIO DE JANEIRO

Abstract The way in which teachers are distributed in schools is a relevant issue in the discussion of inequalities of educational opportunities. The objective of this paper was identify teachers’ and schools’ characteristics that impacts on teachers mobility. The research followed the movement of teachers who entered into the municipal system of Rio de Janeiro between 2009 and 2011. To estimate the probability of teachers switch schools logistic regression analysis were performed. The main result was that the number of times a school won the Prêmio Anual de Desempenho (Annual Performance Award) had presented a major impact in odds of mobility indicated that the policy that intend to improve students learning was increasing the inequality of educational opportunities.

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Prevalence of postural deviations and associated factors in children and adolescents: a cross-sectional study

Fisioterapia em Movimento ◽

10.1590/1980-5918.029.004.ao14 ◽

2016 ◽

Vol 29 (4) ◽

pp. 777-786 ◽

Cited By ~ 4

Author(s):

Mariana Vieira Batistão ◽

Roberta de Fátima Carreira Moreira ◽

Helenice Jane Cote Gil Coury ◽

Luis Ernesto Bueno Salasar ◽

Tatiana de Oliveira Sato

Keyword(s):

Physical Activity ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Associated Factors ◽

Multiple Logistic Regression Analysis ◽

Extrinsic Factors ◽

Cross Sectional ◽

Postural Changes ◽

Intrinsic And Extrinsic Factors

Abstract Introduction: Postural deviations are frequent in childhood and may cause pain and functional impairment. Previously, only a few studies have examined the association between body posture and intrinsic and extrinsic factors. Objective: To assess the prevalence of postural changes in school children, and to determine, using multiple logistic regression analysis, whether factors such as age, gender, BMI, handedness and physical activity might explain these deviations. Methods: The posture of 288 students was assessed by observation. Subjects were aged between 6 and 15 years, 59.4% (n = 171) of which were female. The mean age was 10.6 (± 2.4) years. Mean body weight was 38.6 (± 12.7) kg and mean height was 1.5 (± 0.1) m. A digital scale, a tapeline, a plumb line and standardized forms were used to collect data. The data were analyzed descriptively using the chi-square test and logistic regression analysis (significance level of 5%). Results: We found the following deviations to be prevalent among schoolchildren: forward head posture, 53.5%, shoulder elevation, 74.3%, asymmetry of the iliac crests, 51.7%, valgus knees, 43.1%, thoracic hyperkyphosis, 30.2%, lumbar hyperlordosis, 37.2% and winged shoulder blades, 66.3%. The associated factors were age, gender, BMI and physical activity. Discussion: There was a high prevalence of postural deviations and the intrinsic and extrinsic factors partially explain the postural deviations. Conclusion: These findings contribute to the understanding of how and why these deviations develop, and to the implementation of preventive and rehabilitation programs, given that some of the associated factors are modifiable.

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Knowledgeof anthrax infection prevention and its associated factors among livestock owners in Sekotazuria district, Wag-himra zone, northeast, Amhara region Ethiopia: Cross Sectional Study

10.21203/rs.2.13502/v1 ◽

2019 ◽

Author(s):

Kibeb seid ◽

Terefe Derso ◽

atsede mazengia shiferaw

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Health Education ◽

Logistic Regression Analysis ◽

Associated Factors ◽

Infection Prevention ◽

Good Knowledge ◽

Amhara Region ◽

Cross Sectional ◽

Anthrax Infection

Abstract Introduction Anthrax is an infectious bacterial disease transmitted from infected animal to human by direct or indirectcontact with their products like hides or wool. The most efficient ways of anthrax infection preventions are vaccination of livestock, surveillance, and proper disposal of livestock carcasses in domestic herd.Recently, anthrax infection in humans has been reported from several districts spreadcountrywide and becomes a major public health problem of animals-humans in Amhara region (the study area).Objective This study aimed at determining knowledge of anthrax infection prevention and its associated factors among livestock owners in Sekotazuria district.Method Community based cross-sectional quantitative study was conducted from April to May, 2018, at Sekotazuria district, Northeast Ethiopia. A total of 844 live-stoke owners were selected from Sekotazuria district using simple random sampling technique. Data were collected using a structured self-administered questionnaire and data were cleaned, coded, and entered into Epi-info version 3.5.3, and transferred into SPSS version 20 for further statistical analysis. A p-value of less than 0.05 at multiple logistic regression analysis was considered statistically significant.Results The study revealed that good knowledge of anthrax prevention among livestock owners was 55.8% (95%CI: 54.2, 57.4%). According to multivariable logistic regression analysis, secondary and above educational level[AOR=2.97, 95% CI: 1.07, 8.20], age range of 42 – 80 [AOR=1.47, 95% CI: 1.04, 2.07], and health education about anthrax [AOR=4.25, 95% CI: 2.51, 7.17]were found significantly associated with good knowledge of anthrax infection prevention.Conclusion More than half of livestock owners at SekotaZuria District had good knowledge towards anthrax infection prevention, education level in secondary and above,respondents age category 42-80 years, and health education about anthrax were factors associated with knowledge of anthrax infection prevention. Therefore, health education about anthrax shall be strengthening.

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Investigation of Factors Affecting the Achievement of University Students with Logistic Regression Analysis: School of Physical Education and Sport Example

SAGE Open ◽

10.1177/2158244020902082 ◽

2020 ◽

Vol 10 (1) ◽

pp. 215824402090208

Author(s):

Yeliz Eratlı Şirin ◽

Mustafa Şahin

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Academic Success ◽

Physical Education ◽

University Students ◽

Logistic Regression Analysis ◽

Factors Affecting ◽

Course Success ◽

Effective Factor ◽

The Way

In this study, the factors affecting the success of university students were analyzed by logistic regression analysis. In the study, success variable was defined according to the survey information applied to 360 university students studying in School of Physical Education and Sport in Çukurova University and Kahramanmaraş Sütçü İmam University in Turkey, in 2017–2018 academic year. The relationship between the answers to the Likert-type scale questions affecting success variables and the course success was estimated by logistic regression analysis. According to the results of the research, because independent variables such as mother’s education status, age, and class were statistically insignificant, they were not included in the multivariate model. According to the findings, variables such as gender, the university they studied, the way they chose their department, and father’s education are seen as important in the growth of students’ academic success. In addition to this, the variables such as counseling about their profession, support of department’s instructors, and communication with instructor have been found to be considerably effective on success. It was observed that the way they chose their department (willingly–compulsorily) was the most effective factor, and father’s education was the second effective factor. As a result, the success levels of the students were found to differ according to the sociodemographic characteristics and their relations with the instructors. On the contrary, as the instructors’ guidance, support, and communication skills are effective contributors on student’s success, it has been concluded that instructors should take these factors into account.

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Facemask wearing to prevent COVID-19 transmission and associated factors among taxi drivers in Dessie City and Kombolcha Town, Ethiopia

PLoS ONE ◽

10.1371/journal.pone.0247954 ◽

2021 ◽

Vol 16 (3) ◽

pp. e0247954

Author(s):

Tarikuwa Natnael ◽

Yeshiwork Alemnew ◽

Gete Berihun ◽

Masresha Abebe ◽

Atsedemariam Andualem ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Odds Ratio ◽

Associated Factors ◽

Multivariable Analysis ◽

World Health ◽

Multivariable Logistic Regression Analysis ◽

Taxi Drivers ◽

Targeted Interventions

Background The World Health Organization (WHO) has pointed out that urban taxi drivers and their passengers are at higher risk of transmitting coronavirus disease 19 (COVID-19) due to frequent contact among many people. Facemask wearing is one of the preventive measures recommended to control the transmission of the virus. A lack of evidence of the proportion of facemask wearing among taxi drivers and associated factors in Ethiopia, including Dessie City and Kombolcha Town, hinders the design of targeted interventions to advocate for facemask use. This study was designed to address this gap. Methods A cross-sectional study was conducted among 417 taxi drivers in Dessie City and Kombolcha Town from July to August, 2020. The study participants were selected using a simple random sampling technique after proportionally allocating the sample size from the total number of taxi drivers working in Dessie City and Kombolcha Town. The data were collected by trained data collectors using a structured questionnaire and an on-the-spot observational checklist. The collected data were checked, coded and entered to EpiData version 4.6 and exported to Statistical Package for Social Sciences (SPSS) version 25.0 for data cleaning and analysis. Bivariate (Crude Odds Ratio [COR]) and multivariable (Adjusted Odds Ratio [AOR]) logistic regression analyses were employed using 95% CI (confidence interval). From bivariate logistic regression analysis, variables with p-value < 0.250 were retained into multivariable logistic regression analysis. Then, from the multivariable analysis, variables with p-value < 0.050 were declared as factors significantly associated with facemask wearing among taxi drivers in Dessie City and Kombolcha Town. Main findings The proportion of taxi drivers who wore a facemask was 54.68% [95%CI: 50.10–59.7%]. The majority (58.3%) of drivers were using cloth facemasks, followed by N95 facemasks (24.5%) and surgical facemasks (17.3%). Out of the total 417 taxi drivers, more than two-thirds (69.8%) of them had a good knowledge about COVID-19 and 67.6% of taxi drivers had a positive attitude towards taking precautions against transmission of COVID-19. Three-fourths (74.1%) of the taxi drivers believed that wearing a facemask could prevent COVID-19. More than half (52.5%) felt discomfort when wearing a facemask. Almost three-fourths (72.2%) of taxi drivers felt that the presence of local government pressure helped them to wear a facemask. We found that marital status [AOR = 3.14, 95%CI: 1.97–5.01], fear of the disease [AOR = 2.1, 95%CI: 1.28–3.47], belief in the effectiveness of a facemask [AOR = 5.6, 95%CI: 3.1–10.16] and feeling government pressure [AOR = 3.6, 95%CI: 2.16–6.13] were factors significantly associated with wearing a facemask. Conclusion We found that the proportion of facemask wearers among taxi drivers was relatively low in Dessie City and Kombolcha Town. In order to increase that number, government bodies should work aggressively to encourage more taxi drivers to wear a facemask. We also recommend that government and non-government organizations work very closely together to implement strategies that promote facemask use, including increasing the availability of inexpensive facemasks, and monitoring and controlling facemask use.

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Associated Factors of Plasmodium Knowlesi Malaria among Registered Malaria Cases in Terengganu, Malaysia 2011- September 2019 via Vekpro Online Database

Journal of Clinical and Health Sciences ◽

10.24191/jchs.v6i2.13052 ◽

2021 ◽

Vol 6 (2) ◽

pp. 23-35

Author(s):

Faizul Haris Hatta ◽

Zaliha Ismail ◽

Zahir Izuan Azhar ◽

Nurhuda Ismail ◽

Norafidah Abdul Rashid ◽

...

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Mixed Infection ◽

Associated Factors ◽

Plasmodium Knowlesi ◽

Multiple Logistic Regression Analysis ◽

Weather Data ◽

Multivariable Logistic Regression Analysis ◽

Online Database

Introduction: Plasmodium knowlesi (P. knowlesi), zoonotic malaria cases had been increasing in trend in Terengganu, Malaysia. This study aimed to determine the associated factors of P. knowlesi malaria among registered malaria cases in Terengganu from 2011 to September 2019 via the Vekpro Online Database. Methods: A cross-sectional study was conducted using registered malaria cases in Terengganu from 2011 to September 2019 extracted from the Vekpro Online database and secondary weather data from the Malaysian Meteorological Department. A total sample of 247 malaria cases [(P. knowlesi (n=187), P. falciparum (n=23), P. vivax (n=37), P. malariae (n=4), mixed infection (n=3)] were analysed. The cases were grouped into P. knowlesi group (P. knowlesi, P. malariae, mixed infection) and non-P. knowlesi group (P. falciparum, P. vivax) for comparison of their risk factors. Multiple Logistic Regression analysis was used to identify the associated factors. Results: Plasmodium knowlesi group contributed to 187 out of 247 (75.7%) of all malaria cases. Four factors were found to be significantly associated with P. knowlesi group in the final multivariable logistic regression analysis. Age [AOR=1.04 (95% CI: 1.01,1.08)], Malay race [AOR=39.43 (95% CI: 13.99,111.18)], agriculture and forestry worker [AOR=14.95 (95% CI: 4.10,54.51)] and Passive Case Detection [AOR=11.70 (95% CI: 2.60,52.63)] were the significant associated factors. Conclusion: Identified significant associated factors and characteristics of the high-risk group for P. knowlesi infection can help medical and health front liners in Terengganu in early diagnosis and prompt treatment of the cases. The factors also will help in the planning and development of health interventions in targeting P. knowlesi infection.

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Community-based newborn care utilisation and associated factors in Geze Gofa rural district, South Ethiopia: a community-based cross-sectional study

BMJ Open ◽

10.1136/bmjopen-2020-037792 ◽

2020 ◽

Vol 10 (8) ◽

pp. e037792

Author(s):

Tsegaye Gebremedhin ◽

Asmamaw Atnafu ◽

Endalkachew Dellie

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Associated Factors ◽

Newborn Care ◽

Cross Sectional Study ◽

Rural District ◽

Sectional Study ◽

Community Based ◽

Cross Sectional

ObjectiveThe community-based newborn care (CBNC) is a newborn care package along the maternal and newborn health continuum of care that has been implemented at the community level in Ethiopia. The utilisation which might be affected by several factors has not been well assessed. Thus, this study aimed to examine the utilisation of CBNC and associated factors among women who delivered recently in Geze Gofa rural district, south Ethiopia.DesignCross-sectional study.SettingCommunity-based.ParticipantsThree-hundred seventy-one women who had their newborns recently were randomly selected. Then, they were interviewed at their places using an interviewer-administered structured questionnaire.MethodsA binary logistic regression analysis was done. In the multivariable logistic regression analysis, a p value of <0.05 and adjusted OR (AOR) with 95% CI were used to identify factors statistically associated with CBNC utilisation.OutcomesCBNC utilisation.ResultsThe findings showed that the overall utilisation of CBNC by women who delivered recently with their newborns was 37.5% (95% CI: 32.6 to 42.6). Factors associated with the utilisation of CBNC included women who attended elementary school (AOR: 1.76, 95% CI: 1.01 to 3.07), college and above (AOR: 3.71, 95% CI: 1.12 to 12.24), farmer women (AOR: 0.35, 95% CI: 0.16 to 0.79), women in the lowest (AOR: 3.76, 95% CI: 1.65 to 8.54) and middle quantile of wealth status (AOR: 1.96, 95% CI: 1.01 to 3.76), and those whose preference was visiting hospital only when they faced any signs of danger (AOR: 0.29, 95% CI: 0.11 to 0.78).ConclusionThe use of the CBNC programme in the study area was surprisingly low. To increase utilisation and potentially improve the outcomes of these neonates, we need to increase awareness at community levels, make convenient arrangements and increase the availability of services at nearby health facilities that are essential to improve the uptake of CBNC in the rural district.

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Factors associated with and prevalence of depressive features amongst older adults in an urban city in eastern China

South African Journal of Psychiatry ◽

10.4102/sajpsychiatry.v23i0.1064 ◽

2017 ◽

Vol 23 ◽

Cited By ~ 2

Author(s):

Ping Shao ◽

Yong Xu ◽

Chen-Wei Pan

Keyword(s):

Older Adults ◽

Logistic Regression ◽

Regression Analysis ◽

Logistic Regression Analysis ◽

Associated Factors ◽

Mental Health Problems ◽

Eastern China ◽

Multiple Logistic Regression Analysis ◽

Community Based ◽

Urban City

Background: Mental health problems have become serious for older Chinese adults who have lived through the process of urbanisation. This current research aimed to determine the prevalence of and associated factors for depressive features in a community-based sample of older adults in China.Methods: A community-based survey of 4077 adults aged 60 or older was conducted in Suzhou, China. Information including demographic characteristics, health behaviours, social support, disease histories and physical function was collected using a pre-designed questionnaire. Depressive features were assessed using the self-rating depression scale. Multivariate logistic regression analysis was performed to identify associated factors for depression.Results: The overall prevalence of depressive features in the surveyed population was 47.4% (45.9% in men and 48.5% in women). In a multiple logistic regression analysis, the significant variables of depressive features were no fixed occupation (odds ratio [OR] = 0.28; 95% confidence interval [CI]: 0.21–0.37), doing non-technical and service work (OR = 0.23; 95% CI: 0.19–0.28) or being a manager and technical personnel (OR = 0.25; 95% CI: 0.19–0.32), physical activities (OR = 0.71; 95% CI: 0.61–0.82), never taking dietary supplements (OR = 0.73; 95% CI: 0.58–0.91), not having hobbies (OR = 1.34; 95% CI: 1.15–1.56), never interacting with neighbours (OR = 1.79; 95% CI: 1.28–2.50), cold relationship with a spouse (OR = 3.34; 95% CI: 1.18–9.45) and limited activities of daily living (OR = 2.27; 95% CI: 1.91–2.69).Conclusion: There is an urgent need for public policy interventions to address depression in elderly people located in Suzhou in China.

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Prevalence and Associated Factors of Loneliness Among National Samples of In-School Adolescents in Four Caribbean Countries

Psychological Reports ◽

10.1177/0033294120968502 ◽

2020 ◽

pp. 003329412096850

Author(s):

Supa Pengpid ◽

Karl Peltzer

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Dominican Republic ◽

Logistic Regression Analysis ◽

Associated Factors ◽

Cross Sectional ◽

Eating Fruit ◽

Nationally Representative ◽

Adjusted Logistic Regression ◽

School Truancy

Background The goal of the study was to estimate the prevalence and correlates of loneliness among adolescent school children in four Caribbean countries. Methods Nationally representative cross-sectional data were analysed from 9,143 adolescents (15 years=median age) that took part in the “2016 Dominican Republic, 2016 Suriname, 2017 Jamaica and 2017 Trinidad and Tobago “Global School-Based Student Health Survey (GSHS).” Results The prevalence of loneliness was 15.3% in four Caribbean countries, ranging from 12.1% in Dominican Republic to 18.6% in Jamaica. In adjusted logistic regression analysis, female sex, having no close friends, older age, anxiety induced sleep disturbance, frequent bullying victimization (≥3 days/month), having been physically attacked, parental emotional neglect, having sustained multiple serious injuries (past year) and not eating fruit and vegetables were associated with loneliness. In addition, in sex stratified adjusted logistic regression analysis, among boys, daily exposure to passive smoking, and being from Suriname, and among girls, frequent experience of hunger, low peer support, trouble from drinking alcohol and high leisure-time sedentary behaviour (≥8 hrs/day) were associated with loneliness. Moreover, in addition to above results, in unadjusted analysis, involvement in physical fight, parents never check on homework, parental disrespect of privacy, frequent school truancy (≥3 days/month), current tobacco use, having no physical education and drinking frequently soft drinks (≥3/day) were associated with loneliness. Conclusion Almost one in six students reported loneliness and several associated factors were identified which can aid intervention strategies.

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Minimum acceptable diet practice and its associated factors among children aged 6–23 months in rural communities of Goncha district, north West Ethiopia

BMC Nutrition ◽

10.1186/s40795-021-00444-0 ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Bamlaku Birie ◽

Andargachew Kassa ◽

Emnet Kebede ◽

Bezabih Terefe

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Rural Communities ◽

Rural Community ◽

Logistic Regression Analysis ◽

Associated Factors ◽

Institutional Delivery ◽

Multivariable Logistic Regression Analysis ◽

Amhara Region ◽

Multivariable Logistic Regression

Abstract Background After the first 6 months breast milk is no longer sufficient to meet the nutritional needs of the infant. Therefore, complementary foods should be added to the child’s diet. Feeding children with a diversified diet is practiced improperly in developing countries including Ethiopia particularly in the rural community of the Amhara region. However, limited information was documented on the rural communities and no data were available specifically in the study area to show the exact picture of child feeding practices. So, this study was planned to assess minimum acceptable diet practice and its associated factors among children aged 6–23 months in the rural community of Goncha district, Amhara region, Ethiopia. Methods Community-based cross-sectional study was employed to determine minimum acceptable diet practice and its associated factors among children aged 6–23 months at rural communities of Goncha district, East Gojjam zone, Amhara region, Ethiopia. A multi-stage sampling technique was used to select study subjects, and an interview administered structured questionnaire was used to collect the data. Data were entered by Epi Data version 4.0.2 and exported to SPSS 20 for analysis. Bivariate and multivariable logistic regression analysis was used to see the association. Then, P-value < 0.05 with 95% CI on multivariable logistic regression analysis were used to identify the predictor of the outcome variable. Results A total of 430 mothers who have children aged 6–23 months were included in the analysis with a 98% of response rate. About 12.6% of children aged 6–23 months received the recommended minimum acceptable diet. Children whose mothers who had formal education [AOR = 2.7, 95%CI (1.133, 6.231)], institutional delivery [AOR = 4.5, 95%CI (1.986, 10.362)], media exposure [AOR = 2.6, 95%CI (1.303, 5.291)] and higher household wealth index [AOR = 2.5, 95%CI (1.139, 5.90)] were significantly associated with minimum acceptable diet. Conclusion The practice of minimum acceptable diet in the study area was inadequate and very low according to the national recommendation. So, strengthening institutional delivery, improving the wealth of the community and exposure to media, and finally empowering women’s’ for education is recommended.

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Magnitude and Predictors of Health Care Workers Depression During the COVID-19 Pandemic: Health Facility-Based Study in Eastern Ethiopia

Frontiers in Psychiatry ◽

10.3389/fpsyt.2021.654430 ◽

2021 ◽

Vol 12 ◽

Author(s):

Tesfaye Assebe Yadeta ◽

Yadeta Dessie ◽

Bikila Balis

Keyword(s):

Mental Health ◽

Health Care ◽

Logistic Regression ◽

Regression Analysis ◽

Depressive Symptoms ◽

Logistic Regression Analysis ◽

Health Care Workers ◽

Associated Factors ◽

Eastern Ethiopia ◽

Care Workers

Background: Depression of health care workers was related to work absences, resignations, and poor work performance, affecting the quality of patient care and the health care system. The Coronavirus disease pandemic has had an effect on the mental health of health care workers. Health care workers are facing challenges that can be stressful, overwhelming, and cause strong emotions, may put them at higher risk to develop depression. There is limited evidence that assesses health care workers' depression and its associated factors in the study area during the Coronavirus disease pandemic. Therefore this study aimed to assess depression and associated factors among health care workers in eastern Ethiopia.Method: The cross-sectional study design was conducted from October 26th to November 15, 2020. A total of 265 health care workers from 10 health facilities participated. Patient Health Questionnaire was used for the collection of depressive symptoms. The data were analyzed by using STATA version 14 software. To assess the association between depression and the predictors Adjusted Odds Ratio along with a 95% confidence interval was estimated by using logistic regression analysis. A statistical significance was declared at p-value ≤ 0.05.Results: Of the total 265 study participant, 176 (66.4%) and 95% CI: 60.4%, 71.8% of them reported depressive symptoms. Of 176 reported symptoms of depression 27.9, 24.1, 9.4, 3.7, and 1.1% were had minimal, mild, moderate, moderate-severe, and severe depressive symptoms respectively. The multivariable logistic regression analysis revealed the odds of depression were 2.34 times higher among female participants compared to male participants (AOR: 2.34, 95%CI: 1.09-5.02). In addition, the odds of depression for participants who perceived susceptibility to COVID-19 was 4.05 times higher among their counterpart (AOR: 4.05, 95%CI: 1.12-14.53).Conclusions: Health care workers who experienced depression in the study was high. Health care workers' mental health needs to be protected during the COVID-19 pandemic. Female health care workers and health care workers perceived susceptibility of COVID-19 need attention.

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