Sub-fecundity and associated factors among mothers with natural planned conception attending antenatal care service in Arba Minch Health Facilities

Background Fecundity is a physiological ability to have children. The inability to get the desired child which was commonly caused by the prolonged time to conceive due to unwanted non-conception period increased from time to time. As a result, many couples are developing psychological, social, and economic problems and unstable life. However, information on fecundity status is limited in Ethiopia context. Therefore, this study aimed to assess the proportion of sub-fecundity and associated factors in Ethiopia context. Methods A health institution based cross-sectional study was conducted in Arba Minch health facilities from March 25 to April 25, 2020. By using a systematic sampling method, 539 mothers were selected for the study. Structured questionnaire was used for data collection. A binary logistic regression model was used to identify factors associated with the sub-fecundity. Variables with p-value <0.25 in the bi-variable logistic regression analysis were interred and checked for association in a multivariable logistic regression model. The level of statistical significance was declared at p-value <0.05. Result The proportion of sub-fecundity was 17.8% with 95%CI (14.8%-21.3%). Mothers’ age ≥ 30 (AOR = 2.54, 95%CI; 1.18–5.48), partners’ age ≥ 35 (AOR = 2.20, 95%CI; 1.01–4.75), coffee consumption of ≥ 4 cups/day (AOR = 2.93, 95%CI; 1.14–7.53), menses irregularity (AOR = 3.79 95%CI; 2.01–7.14) and coital frequency of 1day/week (AOR = 3.65, 95%CI; 1.47–9.05) were significantly associated with the sub-fecundity. Conclusion This study found that a substantial proportion of mothers were sub-fecund. Factors that contributed to the sub-fecundity were pre-pregnancy; mothers’ age, partners’ age, coffee drinking of ≥ 4 cups/day, coital frequency of 1day/week, and menses irregularity. Thus, efforts to prevent sub-fecundity should focus on awareness creation as to plan to conceive at early age, reducing coffee consumption, increasing days of coital frequency per week, and investigating and treating mothers with irregular menses.

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The applicability of basic preventive measures of the pandemic COVID-19 and associated factors among residents in Guraghe Zone

PLoS ONE ◽

10.1371/journal.pone.0256598 ◽

2021 ◽

Vol 16 (8) ◽

pp. e0256598

Author(s):

Samuel Dessu ◽

Tadesse Tsehay ◽

Tadele Girum ◽

Abebe Timerga ◽

Mamo Solomon ◽

...

Keyword(s):

Public Health ◽

Logistic Regression ◽

Regression Model ◽

Family Size ◽

Associated Factors ◽

Logistic Regression Model ◽

Preventive Measures ◽

P Value ◽

Multivariable Logistic Regression Model ◽

Poor Knowledge

Introduction Internationally, countries have reacted to the COVID-19 outbreak by introducing key public health non-pharmaceutical interventions to protect vulnerable population groups. In response to COVID-19, the Government of Ethiopia has been taking a series of policy actions beyond public health initiatives alone. Therefore, this study was aimed to assess the applicability of basic preventive measures of the pandemic COVID-19 and associated factors among the residents of Guraghe Zone from 18th to 29th September, 2020. Methods Community based cross sectional study was conducted at Guraghe Zone from 18th to 29th September, 2020. Systematic random sampling method was applied among the predetermined 634 samples. Variables which had p-value less than 0.25 in bivariate analysis were considered as candidate for multivariable logistic regression model. P-value <0.05 was used as a cutoff point to determine statistical significance in multiple logistic regressions for the final model. Result In this study, 17.7% (95% CI: 14.7, 20.5) of the respondents apply the basic preventive measures towards the prevention of the pandemic COVID-19. In addition, being rural resident (AOR: 4.78,; 95%CI: 2.50, 8.90), being studied grade 1–8 (AOR: 3.70; 95%CI: 1.70, 7.90), being a farmer (AOR: 4.10; 95%CI: 1.25, 13.35), currently not married (AOR: 2.20, 95%CI: 1.24, 4.06), having family size 1-3(AOR: 6.50; 95%CI: 3.21, 3.35), have no diagnosed medical illness (AOR: 6.40; 95%CI: 3.85, 10.83) and having poor knowledge (AOR: 3.50; 95%CI: 1.60, 7.40) were factors which are statistically significant in multivariable logistic regression model. Conclusion Despite the application of preventive measures and vaccine delivery, the applicability of the pandemic COVID-19 preventive measures was too low, which indicate that the Zone is at risk for the infection. Rural residents, those who have lower educational level, farmers, non-marrieds, those who have lower family size, those who have diagnosed medical illnesses and those who have poor knowledge were prone to the infection with the pandemic COVID-19 due to the lower practice of applying the basic preventive measures. In addition, awareness creation should be in practice at all levels of the community especially lower educational classes and rural residents.

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Evaluation of common variants in the CNR2 gene and its interaction with abdominal obesity for osteoporosis susceptibility in Chinese post-menopausal females

Bone and Joint Research ◽

10.1302/2046-3758.811.bjr-2018-0284.r1 ◽

2019 ◽

Vol 8 (11) ◽

pp. 544-549

Author(s):

W. Zheng ◽

C. Liu ◽

M. Lei ◽

Y. Han ◽

X. Zhou ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Abdominal Obesity ◽

Logistic Regression Model ◽

Haplotype Analysis ◽

Statistical Significance ◽

Chinese Patients ◽

Sign Test ◽

Environment Interaction ◽

Post Menopausal

Objectives The objective of this study was to investigate the association of four single-nucleotide polymorphisms (SNPs) of the cannabinoid receptor 2 (CNR2) gene, gene-obesity interaction, and haplotype combination with osteoporosis (OP) susceptibility. Methods Chinese patients with OP were recruited between March 2011 and December 2015 from our hospital. In this study, a total of 1267 post-menopausal female patients (631 OP patients and 636 control patients) were selected. The mean age of all subjects was 69.2 years (sd 15.8). A generalized multifactor dimensionality reduction (GMDR) model and logistic regression model were used to examine the interaction between SNP and obesity on OP. For OP patient-control haplotype analyses, the SHEsis online haplotype analysis software ( http://analysis.bio-x.cn/ ) was employed. Results The logistic regression model revealed that the C allele of rs2501431 and the G allele of rs3003336 were associated with increased OP risk, compared with those with wild genotype. However, no significant correlations were found when analyzing the association of rs4237 and rs2229579 with OP risk. The GMDR analysis suggested that the interaction model composed of two factors, rs3003336 and abdominal obesity (AO), was the best model with statistical significance (p-value from sign test (Psign) = 0.012), indicating a potential gene-environment interaction between rs3003336 and AO. Overall, the two-locus models had a cross-validation consistency of 10/10 and had a testing accuracy of 0.641. Abdominally obese subjects with the AG or GG genotype have the highest OP risk, compared with subjects with the AA genotype and normal waist circumference (WC) (odds ratio (OR) 2.23, 95% confidence interval (CI) 1.54 to 3.51). Haplotype analysis also indicated that the haplotype containing the rs3003336-G and rs2501431-C alleles was associated with a statistically increased OP risk. Conclusion Our results suggested that the C allele of rs2501431 and the G allele of rs3003336 of the CNR2 gene, interaction between rs3003336 and AO, and the haplotype containing the rs3003336-G and rs2501431-C alleles were all associated with increased OP risk. Cite this article: Bone Joint Res 2019;8:544–549.

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Endoscopic third ventriculostomy in the treatment of childhood hydrocephalus in Uganda: report of a scoring system that predicts success

Journal of Neurosurgery Pediatrics ◽

10.3171/2009.9.peds09196 ◽

2010 ◽

Vol 5 (2) ◽

pp. 143-148 ◽

Cited By ~ 94

Author(s):

Benjamin C. Warf ◽

John Mugamba ◽

Abhaya V. Kulkarni

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Endoscopic Third Ventriculostomy ◽

Successful Outcome ◽

Third Ventriculostomy ◽

P Value ◽

Training Set ◽

Childhood Hydrocephalus ◽

Validation Set

Object In Uganda, childhood hydrocephalus is common and difficult to treat. In some children, endoscopic third ventriculostomy (ETV) can be successful and avoid dependence on a shunt. This can be especially beneficial in Uganda, because of the high risk of infection and long-term failure associated with shunting. Therefore, the authors developed and validated a model to predict the chances of ETV success, taking into account the unique characteristics of a large sub-Saharan African population. Methods All children presenting with hydrocephalus at CURE Children's Hospital of Uganda (CCHU) between 2001 and 2007 were offered ETV as first-line treatment and were prospectively followed up. A multivariable logistic regression model was built using ETV success at 6 months as the outcome. The model was derived on 70% of the sample (training set) and validated on the remaining 30% (validation set). Results Endoscopic third ventriculostomy was attempted in 1406 patients. Of these, 427 were lost to follow-up prior to 6 months. In the remaining 979 patients, the ETV was aborted in 281 due to poor anatomy/visibility and in 310 the ETV failed during the first 6 months. Therefore, a total of 388 of 979 (39.6% and [55.6% of completed ETVs]) procedures were successful at 6 months. The mean age at ETV was 12.6 months, and 57.8% of cases were postinfectious in origin. The authors' logistic regression model contained the following significant variables: patient age at ETV, cause of hydrocephalus, and whether choroid plexus cauterization was performed. In the training set (676 patients) and validation set (303 patients), the model was able to accurately predict the probability of successful ETV (Hosmer-Lemeshow p value > 0.60 and C statistic > 0.70). The authors developed the simplified CCHU ETV Success Score that can be used in the field to predict the probability of ETV success. Conclusions The authors' model will allow clinicians to accurately identify children with a good chance of successful outcome with ETV, taking into account the unique characteristics and circumstances of the Ugandan population.

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Management Outcome and Associated Factors among Intestinal Obstruction Patients Treated Surgically, Eastern Ethiopia

10.21203/rs.2.10831/v1 ◽

2019 ◽

Author(s):

Tesfaye Derseh ◽

Biniam Minuye ◽

Mohammed Yusouf ◽

Tariku Dingeta

Keyword(s):

Logistic Regression ◽

Intestinal Obstruction ◽

General Hospital ◽

Associated Factors ◽

Statistical Significance ◽

Unfavorable Outcome ◽

High Rate ◽

P Value ◽

Hospital Data ◽

Eastern Ethiopia

Abstract Background Intestinal obstruction is a global problem consuming much in terms of surgical services. It is a common surgical emergency and a significant health problem in Ethiopia. Several factors contribute to poor management outcomes in the case of intestinal obstruction. Post-operative mortality rate ranges from 3% to 30%. Despite this high rate of mortality, there is no recently published literature that has explored Intestinal Obstruction and its associated factors at Chiro General Hospital. Methods Institution based cross-sectional study was conducted among 254 of patients admitted with Intestinal obstruction who treated surgically at Chiro General Hospital. Data were collected using checklists from individual patient cards by trained three BSc nurses from 13 to 18 July 2018 and completeness of data collection was checked every day by the principal Investigator. Data were entered to Epi-Data version 3.1 computer software and exported to SPSS statistical software version 22 for analysis. Bivariable binary logistic regression was used to saw the association between each independent variable and dependent variable. All variables with P-value < 0.2 during bi-variable analyses were considered for multivariable logistic regression analyses. Odds ratio along with 95%CI were estimated to measure the strength of the association. Level of statistical significance was declared at p value less or equal to 0.05. Results In this study the magnitude of unfavorable outcome of Intestinal Obstruction was 21.3% (95% CI: (16.5, 26.4). Age group of 55 years or above [AOR=2.9, 95%CI: (1.03, 8.4)], duration of illness of 24hrs or above [AOR=3.1, 95%CI: (1.03, 9.4)], pre-operative diagnosis of gangrenous SBO & gangrenous LBO [(AOR=3.6, 95%CI: (1.3, 9.8)), (AOR=4.2, 95%CI: (1.3, 13.7))], respectively were significantly associated with unfavorable outcome. Conclusions The magnitude of unfavourable management outcome of patients with Intestinal obstruction who treated surgically in this study was high. Old age, late presentation of illness and gangrenous bowel obstruction were significantly associated with unfavourable management outcome. So that early detection prompt management of patients with Intestinal obstruction reduce the occurrence of unfavourable outcome of patients.

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Determinants of acute respiratory infection among under-five children in rural Ethiopia

BMC Infectious Diseases ◽

10.1186/s12879-021-06864-4 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Amanuel Mengistu Merera

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Regression Model ◽

Respiratory Infection ◽

Acute Respiratory Infection ◽

Logistic Regression Model ◽

P Value ◽

Under Five ◽

Under Five Children ◽

Rural Ethiopia

Abstract Introduction In low- and middle-income nations, acute respiratory infection (ARI) is the primary cause of morbidity and mortality. According to some studies, Ethiopia has a higher prevalence of childhood acute respiratory infection, ranging from 16 to 33.5%. The goal of this study was to determine the risk factors for acute respiratory infection in children under the age of five in rural Ethiopia. Methods A cross-sectional study involving 7911 children under the age of five from rural Ethiopia was carried out from January 18 to June 27, 2016. A two stage cluster sampling technique was used recruit study subjects and SPSS version 20 was used to extract and analyze data. A binary logistic regression model was used to identify factors associated with a childhood acute respiratory infection. The multivariable logistic regression analysis includes variables with a p-value less than 0.2 during the bivariate logistic regression analysis. Adjusted odds ratios were used as measures of effect with a 95% confidence interval (CI) and variables with a p-value less than 0.05 were considered as significantly associated with an acute respiratory infection. Results The total ARI prevalence rate among 7911 under-five children from rural Ethiopia was 7.8%, according to the findings of the study. The highest prevalence of ARI was found in Oromia (12.8%), followed by Tigray (12.7%), with the lowest frequency found in Benishangul Gumuz (2.4%). A multivariable logistic regression model revealed that child from Poor household (AOR = 2.170, 95% CI: 1.631–2.887), mother’s no education (AOR = 2.050,95% CI: 1.017–4.133), mother’s Primary education (AOR = 2.387, 95% CI:1.176–4.845), child had not received vitamin A (AOR = 1.926, 95% CI:1.578–2.351), child had no diarrhea (AOR = 0.257, 95% CI: 0.210–0.314), mothers not working (AOR = 0.773, 95% CI:0.630–0.948), not stunted (AOR = 0.663, 95% CI: 0.552–0.796), and not improved water source (AOR = 1.715, 95% CI: 1.395–2.109). Similarly, among under-five children, the age of the child, the month of data collection, anemia status, and the province were all substantially linked to ARI. Conclusions Childhood ARI morbidity is a serious health challenge in rural Ethiopia, according to this study, with demographic, socioeconomic, nutritional, health, and environmental factors all having a role. As a result, regional governments, healthcare staff, and concerned groups should place a priority on reducing ARI, and attempts to solve the issue should take these variables into account.

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Determinants of Acute Respiratory Infection among Under-Five Children in Rural Ethiopia

10.21203/rs.3.rs-811643/v1 ◽

2021 ◽

Author(s):

Amanuel Mengistu Merera

Keyword(s):

Logistic Regression ◽

Regression Analysis ◽

Regression Model ◽

Respiratory Infection ◽

Acute Respiratory Infection ◽

Logistic Regression Model ◽

P Value ◽

Under Five ◽

Under Five Children ◽

Rural Ethiopia

Abstract Introduction: In low- and middle-income nations, acute respiratory infection (ARI) is the primary cause of morbidity and mortality. According to some studies, Ethiopia has a higher prevalence of childhood acute respiratory infection, ranging from 16 % to 33.5 %. The goal of this study was to determine the risk factors for acute respiratory infection in children under the age of five in rural Ethiopia. Methods: A cross-sectional study involving 7,911 children under the age of five from rural Ethiopia was carried out from January 18 to June 27, 2016. A two stage cluster sampling technique was used recruit study subjects and SPSS version 20 was used to extract and analyze data. A binary logistic regression model was used to identify factors associated with a childhood acute respiratory infection. The multivariable logistic regression analysis includes variables with a p-value less than 0.2 during the bivariate logistic regression analysis. Adjusted odds ratios were used as measures of effect with a 95% confidence interval (CI) and variables with a p-value less than 0.05 were considered as significantly associated with an acute respiratory infection. Results: The total ARI prevalence rate among 7,911 under-five children from rural Ethiopia was 7.8%, according to the findings of the study. The highest prevalence of ARI was found in Oromia (12.8 %), followed by Tigray (12.7 %), with the lowest frequency found in Benishangul Gumuz (2.4 %). A multivariable logistic regression model revealed that child from Poor household (AOR=2.170, 95% CI: 1.631-2.887), mother’s no education (AOR=2.050,95% CI: 1.017-4.133), mother’s Primary education (AOR=2.387, 95% CI:1.176-4.845), child had not received vitamin A (AOR=1.926, 95% CI:1.578-2.351), child had no diarrhea (AOR=0.257, 95% CI: 0.210-0.314), mothers not working (AOR=0.773, 95% CI:0.630-0.948), not stunted (AOR=0.663, 95% CI: 0.552-0.796), and not improved water source (AOR=1.715, 95% CI: 1.395-2.109). Similarly, among under-five children, the age of the child, the month of data collection, anemia status, and the province were all substantially linked to ARI. Conclusions: Childhood ARI morbidity is a serious health challenge in rural Ethiopia, according to this study, with demographic, socioeconomic, nutritional, health, and environmental factors all having a role. As a result, regional governments, healthcare staff, and concerned groups should place a priority on reducing ARI, and attempts to solve the issue should take these variables into account.

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Prevalence of violence and associated factors among Youth in Northwest Ethiopia: Community-based Cross-sectional study.

10.21203/rs.3.rs-17582/v2 ◽

2020 ◽

Author(s):

Alehegn Bishaw Geremew ◽

Abebaw Addis Gelagay ◽

Telake Azale Bisetegn ◽

Yohannes Ayanaw Habitu ◽

Solomon Mekonen Abebe ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Associated Factors ◽

Logistic Regression Model ◽

Public Health Problem ◽

Cross Sectional Study ◽

Northwest Ethiopia ◽

Sectional Study ◽

Community Based ◽

Cross Sectional

Abstract Background Violence as a known serious public health problem affects people in all stages of life, from childhood to the elderly. In society, one of the most visible forms of violence is young people violence, whereas they, adolescents and young adults, are the main victims of such violence. There was limited information on the burden of violence and factors among this age group. Therefore, this study aimed to determine the prevalence of violence and its associated factors among youth in Northwest, Ethiopia. Methods A community-based cross-sectional study design was conducted to estimate the magnitude of violence among youth in Northwest, Ethiopia. The calculated sample size was 1765. A structured and pretested interviewer administered questionnaire was used to collect the data. A multi-stage cluster sampling technique was employed to get the study participants. Data were entered using Epi Info version 7 and then exported to STATA 14 for data analysis. The bivariate logistic regression model was employed to identify associated factors. An adjusted odds ratio with a 95% confidence interval was used to determine factors associated with violence. Results From the total 1765 representatives of the youth population, 1597 (90.5%) youth participated in the study. Overall, the prevalence of violence among youth aged 15–24 years for the last 12 months was 21.5%. In the multivariate logistic regression model, factors significantly associated with violence were being married and divorced (AOR= 1.77, 95% CI: 1.13, 2.79) and (AOR=5.67, 95%CI: 2.93, 10.99), respectively, Living with mother’s only (AOR= 1.85, 95% CI: 1.28, 2.66) and father’s only (AOR=2.45, 95% CI: 1.30, 4.63), and substance use (AOR= 2.38, 95% CI: 1.56, 3.66). Conclusions The prevalence of violence among youth was high compared to other studies. Special emphasis should be given to reduce the burden of youth violence and preventing and controlling the identified factors by modifying the existing policies/strategies or developing new strategies and interventions program. Keywords: Violence, Youth, Physical violence, Sexual violence, Psychological violence

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Association between Attention Deficit Hyperactivity Disorder and Suicide Attempts in Patients with Bipolar Disorder

Iranian Journal of Psychiatry ◽

10.18502/ijps.v14i3.1341 ◽

2019 ◽

Author(s):

Jafar Fili ◽

Marzieh Nojomi ◽

Katayoon Razjouyan ◽

Mojgan Kahdemi ◽

Rozita Davari- Ashtiani

Keyword(s):

Bipolar Disorder ◽

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Suicide Attempts ◽

P Value ◽

Hyperactivity Disorder ◽

Significant Difference ◽

Chi Squared ◽

History Of

Objective: The present study aimed to examine the association between ADHD and suicide attempts among adolescents with bipolar disorder. Method: Participants were 168 adolescents who fulfilled DSM-IV-TR criteria for bipolar disorder. They were divided into 2 groups: The first group of patients with bipolar disorder with a history of suicide attempts (n = 84) and the second group without a history of suicide attempts (n = 84). ADHD and other variables were analyzed using a chi-squared test and logistic regression model. Results: No significant difference was observed between the 2 groups in comorbidity of ADHD and other psychiatric disorders (P value > 0/05). In the logistic regression model, and after controlling for other factors, gender (OR = 3.9, CI 95%: 1.5-9.6) and history of sexual abuse (OR = 3.4; CI 95%: 1.06-11.3) were the only 2 factors associated with a history of suicide attempts. Conclusion: No significant association was found between ADHD and suicide attempts in adolescents with bipolar disorder.

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Forecasting Of Content Ca 125 Endometriosis Using Logistic Regression Model

International Journal of Human and Health Sciences (IJHHS) ◽

10.31344/ijhhs.v5i1.232 ◽

2020 ◽

Vol 5 (1) ◽

pp. 47

Author(s):

Sardjana Atmadja ◽

Gulam Gumilar

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Measurement Model ◽

Ca 125 ◽

P Value ◽

Primary Dysmenorrhoea ◽

Lemeshow Test ◽

Main Factors ◽

Blood Loss Volume

Objective : This study is to prove that there is a significant relationship between the absence of students participating in activities at school / on campus and the symptoms of primary dysmenorrhoea experienced during menstruation. Endometriosis is characterized as pain under the abdomen during menstruation. In addition, this study is also to obtain a profile of students and factors that influence primary dysmenorrhoea. A logistic regression model has been used to assess the main factors of dysmenorrhoea among these students.Methods : The study was conducted at the RSK Permata Hati Malang. A total of 123 students were randomly selected in this study. The factors observed were menarche, menstruation, menstruation period and blood loss volume and CA 125 level. From the logistic regression model, it was found that there were three factors that influence the occurrence of dysmenorrhoea among students, namely menarche, menstruation period and menstrual blood volume.Results: The Hosmer and Lemeshow test showed that the measurement model of CA 125 levels in endometriosis was appropriate (Chi squar test value was 2.847 with p-value = 0.416). Instead of Press. (3) and Eq. (4), it was found that the contributors to dismenortea were menstrual length, menstrual discharge and the beginning of menarche. By looking at the odds ratio it is found that the risk of students experiencing dysmenorrhoea is (i) 2.5 times higher for those with longer menstrual periods (ii) 3.7 times higher for those who have menstrual expenditure which is a little and (iii) three times higher for those who have mined it for more than 13 years.Conclusion: Significant CA 125 levels were obtained for students and students suffering from dysmenorrhoea. The study also found that the risk of getting dysmenorrhoea increased if students and students had menstrual periods longer than 35 days, menstrual expenditure levels were small and menarche was more than 13 years old.International Journal of Human and Health Sciences Vol. 05 No. 01 January’21 Page: 47-49

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Factors Relating to Preventive Practices of Health Science Students during the Early Stage of the COVID-19 Pandemic

MedPharmRes ◽

10.32895/ump.mpr.4.4.5 ◽

2020 ◽

Vol 4 (4) ◽

pp. 27-32

Author(s):

Giao Huynh ◽

Le An Pham ◽

Vien Truong Nguyen ◽

Thuong Thi Hoai Do ◽

Han Thi Ngoc Nguyen ◽

...

Keyword(s):

Logistic Regression ◽

Regression Model ◽

Logistic Regression Model ◽

Early Stage ◽

Health Science ◽

P Value ◽

Prevention Measures ◽

Good Practices ◽

Preventive Practices ◽

Significant Difference

Objectives: We assessed the factors relating to the prevention of the Novel Coronavirus Disease (COVID-19) for students at the University of Medicine and Pharmacy at Ho Chi Minh City, Vietnam. Methods: A cross-sectional study was performed in February and March 2020. A 21 item self-administered questionnaire on the knowledge, attitude, and practices regarding COVID-19 was collected from students of the first to the sixth year using the strategy of simple random sampling. The aim was to establish factors that relate to practices using Odds ratio (OR) and 95% confidence interval (95% CI) which were estimated by the logistic regression model, p-value <0.05 shows a significant difference. Results: Of the 551 students, 41.0% recorded responses indicating good practices toward prevention measures, while around half the students reported that they did not wash their hands for 20 full seconds (50.5%). The overall rate of good knowledge and positive attitude was 49.0% and 26.1%, respectively. When adjusted for all variables in the logistic regression model, a positive overall attitude was associated with good overall preventive practice; AOR = 1.72 (95% CI: 1.16 – 2.55). Furthermore, students mainly accessed information via social media and television (95.8% and 85.8%, respectively). Conclusions: There were only 41.0% recorded responses indicating good practices toward prevention measures. Besides, knowledge and attitudes about COVID-19 among students were inadequate. Further health education interventions should be focused to change bad hand-washing habits via mass media messages.

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