scholarly journals Undiagnosed hypertension and associated factors among bank workers in Bahir Dar City, Northwest, Ethiopia, 2020. A cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (5) ◽  
pp. e0252298
Author(s):  
Mekdes Dejenie ◽  
Sitotaw Kerie ◽  
Kidist Reba
Keyword(s):  
Logistic Regression ◽  
Associated Factors ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Bahir Dar ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Poor Knowledge ◽  
Undiagnosed Hypertension

Background Undiagnosed hypertension is defined as individuals who were hypertensive but did not report having been told by a health professional that they have hypertension. It is an important risk factor for development of chronic kidney disease, cardiovascular disease and all-cause mortality. Despite those problems and benefits of finding individuals with undiagnosed hypertension to prevent its outcomes, no enough investigations have been done regarding the prevalence and associated factors of undiagnosed hypertension. Therefore, the objective of this study was to assess the prevalence of undiagnosed hypertension and its associated factors among bank workers in Ethiopia. Methods An institutional based cross-sectional study was held at Bahir Dar city bank workers. The simple random sampling technique was used to select the study participants. Self-administered structured questionnaire and physical measurement were used to collect data. The data were entered into EPI data 3.1 versions and exported to SPSS version 23.0 statistical software for further analysis. In order to decide the association between independent and dependent variables; multivariate logistic regression analysis was implemented. A P-value of < 0.05 was used as the criterion for statistical significance and OR with 95% confidence interval was used to indicate the strength of association. Result In this study from a total of 524 participants 513 were completed the questionnaire correctly, which gives a response rate of 97.9%. The overall prevalence of undiagnosed hypertension among bank workers was 24.8% with (95% CI 21.1–28.5). Multivariate logistic regression revealed that age 35–44 [AOR = 2.56, 95% CI: (1.60–4.09)], being male [AOR = 3.61, 95% CI: (1.84–7.05)], having moderate knowledge [AOR = 3.81, 95% CI: (2.29–6.34)], having poor knowledge [AOR = 6.19, 95% CI: (3.07-)12.48], and being physically inactivity [AOR = 2.91, 95% CI: (1.26–6.76)] were variables significantly associated with undiagnosed hypertension. Conclusion The prevalence of undiagnosed hypertension among bank workers in Bahir Dar city was found to be high. An age group of 35–44 years, being male, having moderate and poor knowledge and being physically inactivity was the variables that were significantly associated with undiagnosed hypertension. Therefore, creating awareness, frequent screening and implementation of an appropriate intervention for this vulnerable group is important.

scholarly journals Unmet Healthcare Needs and Associated Factors in Rural and Suburban Vietnam: A Cross-Sectional Study

2020 ◽  
Vol 17 (17) ◽  
pp. 6320
Author(s):  
Ju Young Kim ◽  
Dae In Kim ◽  
Hwa Yeon Park ◽  
Yuliya Pak ◽  
Phap Ngoc Hoang Tran ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Associated Factors ◽  
Healthcare Providers ◽  
Healthcare Services ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Healthcare Needs ◽  
Unmet Healthcare Needs

The purpose of this study was to examine the current utilization of healthcare services, exploring unmet healthcare needs and the associated factors among people living in rural Vietnam. This cross-sectional study was conducted with 233 participants in a rural area. The methods included face-to-face interviews using a structured questionnaire, and anthropometric and blood pressure measurements. We considered participants to have unmet health needs if they had any kind of health problem during the past 12 months for which they were unable to see a healthcare provider. Multivariate logistic regression analysis was performed to determine the factors associated with unmet healthcare needs. Of the participants, 18% (n = 43) had unmet healthcare needs, for reasons like transportation (30%), a lack of available doctors or medicine (47%), and communication issues with healthcare providers (16%). The multivariate logistic regression showed that living in a rural area, having stage 2 hypertension, and having insurance were associated with unmet healthcare needs. To better meet the healthcare needs in rural or suburban areas of Vietnam, allocation of adequate healthcare resources should be distributed in rural areas and insurance coverage for personalized healthcare needs might be required. Efforts should focus on availability of medicine, improvement of transportation systems, and communication skills of healthcare providers to improve access to healthcare services.

scholarly journals Serum albumin was negatively associated with diabetic peripheral neuropathy in Chinese population: a cross-sectional study

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Pijun Yan ◽  
Qian Tang ◽  
Yuru Wu ◽  
Qin Wan ◽  
Zhihong Zhang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Peripheral Neuropathy ◽  
Serum Albumin ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Chinese Patients ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

Abstract Background Previous studies that explored the relationship of serum albumin with diabetic peripheral neuropathy (DPN) have indicated inconsistent results. Thus, the present study aimed to evaluated the association between serum albumin and DPN, defined as vibration perception threshold (VPT) values ≥ 25 V and/or inability to feel the monofilament, in Chinese patients with type 2 diabetes mellitus (T2DM). Methods 1465 T2DM patients aged ≥ 16 years, who completed the measurement of serum albumin and DPN screening between 2012 and 2015, were included in the cross-sectional study. Correlation and multivariate logistic regression analysis models were used to evaluate the possible relationship between serum albumin and DPN. Results Patients with higher quartiles of serum albumin had significantly lower VPT values and prevalence of DPN compared with those with lower quartiles (P for trend < 0.01), and there was an inverse relationship between serum albumin and VPT values and prevalence of DPN (all P < 0.01). Multivariate logistic regression analysis demonstrated that the risk of DPN was progressively decreased across serum albumin quartiles (P for trend < 0.01), and participants in the highest quartile of serum albumin were at a significantly decreased risk of DPN compared to those in the lowest quartile (odds rate: 0.311, 95% confidence intervals 0.134–0.724, P < 0.01). ROC analysis revealed that the optimal cutoff point of serum albumin for the prevalence of DPN was 39.95 g/L in patients with T2DM, with a sensitivity of 65.88% and a specificity of 66.7%. Conclusions Decreased levels of serum albumin might be correlated with increased risk of DPN in Chinese patients with T2DM. Future longitudinal studies with large samples are warranted to confirm our findings, and elucidate putative mechanisms for the association.

scholarly journals A predictive nomogram: a cross-sectional study on a simple-to-use model for screening 12-year-old children for severe caries in middle schools

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Shaoying Duan ◽  
Meng Li ◽  
Jialiang Zhao ◽  
Huiyu Yang ◽  
Jinfeng He ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Cross Validation ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Dental Professionals

Abstract Background A nomogram is a tool that transforms complex regression equations into simple and visual graphs and enables clinicians and patients to conveniently compute output probabilities without needing medical knowledge and complex formulas. The aim of this study was to develop and validate a predictive nomogram to screen for severe caries among 12-year-old children based on risk factors in Sichuan Province, China. Methods A cross-sectional study of 4573 12-year-olds was conducted up to May 2016 in middle schools from three districts and three counties in Sichuan Province, China. All the children underwent oral examinations and completed questionnaires to assess general information, oral impacts on daily performance, dietary habits, subjective health conditions, history of dental trauma, frequency of toothache, dental visits, and knowledge, attitudes, and behaviours toward oral hygiene. Univariate analysis and multivariate logistic regression analysis were used to determine which variables were significantly associated with severe caries (operationalized as DMFT ≥ 3). A nomogram was developed and validated by using the ‘rms’ package and two cross-validation methods. Results Severe caries was found in 537 of the 4573 children (11.74%). Multivariate logistic regression analysis revealed that the following variables predicted a higher risk of severe caries: ‘female’ [odds ratio (OR) = 1.985, 95% confidence interval (95% CI): 1.63–2.411], ‘urban’ (OR = 2.389, 95% CI: 1.96–2.91), ‘non-only child’ (OR = 1.317, 95% CI: 1.07–1.625), ‘very poor self-assessment of oral health status’ (OR = 2.157, 95% CI: 1.34–3.467) and ‘visited a dentist less than 6 months’ (OR = 1.861, 95% CI: 1.38–2.505). Multivariate logistic regression analysis also indicated that the following variables predicted a lower risk of severe caries: ‘middle level of urbanization’ (OR = 0.395, 95% CI: 0.32–0.495) and ‘high level of urbanization’ (OR = 0.466, 95% CI: 0.37–0.596). Both the fivefold and leave-one-out cross-validation methods indicated that the nomogram model built by these 6 variables displayed good disease recognition ability. Conclusions The nomogram was a simple-to-use model to screen children for severe caries. This model was found to facilitate non-dental professionals in assessing risk values without oral examinations and making referrals to dental professionals.

scholarly journals Comprehensive Hospitals Nurses’ Cognition on Palliative Care in Shandong Province, China: A Cross-Sectional Study

2021 ◽  
Author(s):  
Hailing Yang ◽  
Meimei Shang ◽  
Chunhua Sun ◽  
Lihua Li ◽  
Chao Wang
Keyword(s):  
Palliative Care ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Shandong Province ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Nursing Knowledge

Background: Palliative care is an essential part of medical practice, however, it has developed slowly in China. We aimed to analyze the current situations of the cognition on palliative care among the nurses in Shandong Province, China. Methods: This was a cross sectional study. Investigation of 1050 nurses came from 5 third-class hospitals and 5 second-class hospitals in Shandong Province, China from Jul to Oct in 2018. The questionnaire included 4 parts: general information of the subject, the questionnaire of palliative nursing knowledge, attitude, and the behavior. Data were collected by the APP. Overall, after eliminating the invalid questionnaires, 1026 questionnaires were included in the final analyses. The software Stata 14.2 was used for all statistical analyses. Results: The score of knowledge and attitude was low, the practice was higher. Multivariate analysis results: the significant independent variables of univariate analysis were included in the multivariate non-conditional logistic regression model for analysis. Some departments had statistical significance in knowledge multivariate Logistic regression analysis. The multivariate logistic regression analysis of practice was significant for physical health and religious beliefs. The statistical variables of the total score of cognition were gender, age of care, health status and religious beliefs. Conclusion: Nursing knowledge is lacking and attitude remains to be improved as soon as possible. It is vital to improve the cognition of palliative care of nurses in Shandong general hospitals by developing relevant rules and regulations, strengthening the supervision of relevant ant departments, and enhancing training for nurses.  

scholarly journals Association between Helicobacter pylori Infection and Diabetes: A Cross-Sectional Study in China

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Sailimai Man ◽  
Yuan Ma ◽  
Cheng Jin ◽  
Jun Lv ◽  
Mingkun Tong ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Subgroup Analysis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Increased Risk ◽  
H Pylori

Background. Studies suggest an association between H. pylori infection and extragastrointestinal disease. Limited studies provided conflicting results on the association between H. pylori infection and diabetes. The present study was aimed at examining the association between H. pylori infection and diabetes in a large health checkup population in China. Methods. A cross-sectional study was conducted; participants who attended health checkups at Beijing MJ Health Screening Center during 2017-2018 were included. H. pylori infection was diagnosed by 13C-urea breath test. Multivariate logistic regression analysis was performed to evaluate the association between H. pylori infection and diabetes. Results. The mean age of 13,397 participants was 43.8±12 years. The prevalence of H. pylori infection and diabetes was 28.2% and 8.1%, respectively. The prevalence of diabetes was higher among H. pylori-positive participants compared with their counterparts (8.9% vs 7.8%, p=0.05). After adjustment of age, sex, family history of diabetes, smoking, education, stroke, coronary heart disease, BMI, SBP, TG, HDL-C, and LDL-C, multivariate logistic regression analysis found no association between H. pylori infection and diabetes (OR 1.02, 95% CI 0.88-1.18). Additionally, subgroup analysis indicated that H. pylori infection was significantly associated with increased risk of diabetes in the female group (OR 1.09, 95% CI 1.08-1.09). Conclusions. No significant association was found between H. pylori infection and diabetes. However, the subgroup analysis suggested that H. pylori infection was possibly associated with increased risk of diabetes among females. Future cohort studies are needed to verify this association in females and to address possible implication in the prevention of diabetes.

scholarly journals LDL-C:HDL-C ratio and common carotid plaque in Xinjiang Uygur obese adults: a cross-sectional study

BMJ Open ◽  
2018 ◽  
Vol 8 (10) ◽  
pp. e022757 ◽  
Author(s):  
Qiang Zhao ◽  
Fen Liu ◽  
Ying-Hong Wang ◽  
Hong-Mei Lai ◽  
Qian Zhao ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Independent Predictor ◽  
Multivariate Logistic Regression Analysis ◽  
Density Lipoprotein ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Obese Adults ◽  
Cross Sectional

ObjectiveThe aim of this study was to explore the relationship between low-density lipoprotein cholesterol:high-density lipoprotein cholesterol (LDL-C:HDL-C) ratio and common carotid atherosclerotic plaque (CCAP) among obese adults of Uygur community in Xinjiang, China.DesignA hospital-based cross-sectional study.SettingFirst Affiliated Hospital of Xinjiang Medical University.ParticipantsA total of 1449 obese adults of Uygur population who were free of coronary artery disease were included in our study from 1 January 2014 to 31 December 2016.MethodologyLipid profiles, other routine laboratory parameters and intima-media thickness of the common carotid artery were measured in all participants. Multivariate logistic regression analysis was used to examine the association between LDL-C:HDL-C ratio and CCAP.ResultsFour hundred and fifteen (28.64%) participants had CCAP. Participants with CCAP had significantly higher LDL-C:HDL-C ratio compared with those without CCAP (3.21 [2.50, 3.88] vs 2.33 [1.95, 2.97], p<0.001). Multivariate logistic regression analysis showed high LDL-C:HDL-C ratio as independent predictor of CCAP after adjusting for conventional cardiovascular risk factors. The top LDL-C:HDL-C ratio quartile (≥3.25) had an OR of 9.355 (95% CI 6.181 to 14.157) compared with the bottom quartile (<2.07) of LDL-C:HDL-C ratio (p<0.001) after adjustment for age, body mass index, smoking, diabetes mellitus and serum level of total cholesterol.ConclusionCCAP is highly prevalent in Uygur obese adults. A high LDL-C:HDL-C ratio is an independent predictor of CCAP. It may help identify obese individuals who are at high risk of CCAP and who may benefit from intensive LDL-lowering therapy.

scholarly journals Association between Obesity and Chronic Periodontitis: A Cross-sectional Study

2013 ◽  
Vol 14 (2) ◽  
pp. 168-173 ◽  
Author(s):  
Ajay Reddy Palle ◽  
CM Sanjeeva Kumar Reddy ◽  
B Shiva Shankar ◽  
Vemsi Gelli ◽  
Jaradoddi Sudhakar ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Risk Factor ◽  
Cardiovascular Diseases ◽  
Chronic Periodontitis ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

ABSTRACT Aim Chronic periodontitis is multifactorial and numerous risk factors have been identified to contribute in the disease progression. Current study aimed to conduct a cross-sectional study in a population of patients with cardiovascular diseases in order to correlate the association between obesity [body mass index (BMI) and waist circumference (WC)] and periodontal disease parameters. Materials and methods The study was of a cross-sectional design and a total of 201 patients were examined after obtaining their informed consent. Subjects who had a history of cardiovascular diseases and under treatment were included in the study. Two indicators of obesity were used: BMI and WC. The following periodontal parameters were assessed: Probing depth, clinical attachment level. The oral hygiene status of the subjects was assessed by the oral hygiene index (OHI, simplified) given by John C Greene and Jack R Vermillion. The influence of the BMI and other confounding variables on periodontitis severity was assessed by multivariate logistic regression analysis. Data were analyzed using SPSS. Results Significant association was seen with low density lipoproteins (LDL) and severity of periodontitis (p < 0.005), triglyceride levels (TGL) and severity of periodontitis (p < 0.005), cholesterol and severity of periodontitis (p < 0.005), BMI and severity of periodontitis (p < 0.001), OHI and severity of periodontitis (p < 0.001). Significant association was seen with smoking and severity of periodontitis (p < 0.005), BMI and severity of periodontitis (p < 0.001), WC and severity of periodontitis (p < 0.001), cholesterol and severity of periodontitis (p < 0.001), OHI and severity of periodontitis (p < 0.001). Conclusion Obesity has been implicated as a risk factor for several conditions including cardiovascular disease, diabetes, etc. In our study the relation between measures of overall and abdominal obesity (BMI and WC) and periodontal disease showed significant association in the multivariate logistic regression analysis independent of other confounding factors. Clinical significance Obesity can act as a significant risk factor in progression of periodontitis. How to cite this article Palle AR, Reddy CMSK, Shankar BS, Gelli V, Sudhakar J, Reddy KKM. Association between Obesity and Chronic Periodontitis: A Cross-sectional Study. J Contemp Dent Pract 2013;14(2):168-173.

scholarly journals Motorcycle Accidents and Their Outcomes amongst Victims Admitted to Health Facilities in Guinea: A Cross-Sectional Study

2020 ◽  
Vol 2020 ◽  
pp. 1-7
Author(s):  
Alexandre Delamou ◽  
Karifa Kourouma ◽  
Bienvenu Salim Camara ◽  
Delphin Kolie ◽  
Fassou Mathias Grovogui ◽  
...  
Keyword(s):  
Young Adults ◽  
Logistic Regression ◽  
Hospital Admissions ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Morbidity And Mortality ◽  
Deep Coma ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional

Background. Motorcycle road traffic accidents (RTA) constitute an increasing public health challenge with victims more likely to sustain fatal injuries compared with other types of RTA. The aim of this study was to analyze motorcycle RTA-related morbidity and mortality among victims admitted to hospitals in Guinea from 2015 to 2017. Materials and Methods. This was a cross-sectional study based on hospital records from six districts (Boké, Kindia, Mamou, Faranah, N’Zérékoré, and Siguiri) from January 1, 2015, to December 31, 2017. Bivariate analysis and multivariate logistic regression were used to explore associations between RTA types and mortality. Results. There were 14,962 RTA victims with motorcycle RTA accounting for 58.3% and other RTA 45.3% of hospital admissions. Overall, motorcycle RTA accounted for 77.7%, with young adults (96.2%) and males (73.5%) more affected when compared to victims of other types of RTA. Median age of motorcycle RTA victims was 23 years (IQR: 17–33 years). Students (29.7%), employees (23.6%), and farmers/housewives (23.3%) were the commonest groups affected by motorcycle RTA. The highest burden of motorcycle RTA occurred in the mining zones (Boké and Siguiri). Wounds (39.2% and 27.3%) and multiple injuries (43.8% and 43.8%) were the commonest types of injury sustained by victims of both motorcycle and other types of RTA, respectively. Motorcycle RTA accounted for 54% of overall deaths. Using multivariate logistic regression analysis, sustaining a motorcycle RTA in N’Zérékoré (AOR: 4.2; 95% CI: 1.6–11.2) and being admitted with mild (AOR: 7.4; 95% CI 2.1–25.8) and heavy or deep coma (AOR: 776.1; 95% CI: 340.2–1770.7) were significantly associated with mortality. Conclusions. Motorcycle RTA are an important cause of morbidity and mortality in Guinea. Males, young adult users, students, employees, and people from mining zones are the most affected. Better law enforcement and awareness raising among Guinean young adults are promising prevention strategies.

scholarly journals Prevalence and associated factors of Female Sexual Dysfunction among Female Population in Aksum Town, Tigray Region, Ethiopia, 2019. A Community Based Cross Sectional Study

2019 ◽  
Author(s):  
Gebreslasie Gebrezgabhier ◽  
Haftom Desta ◽  
Tesfay Berhe ◽  
Etsay Hailu ◽  
Fitsum Gebrehiwot ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Sexual Dysfunction ◽  
Female Sexual Dysfunction ◽  
Multivariate Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Community Based ◽  
Cross Sectional

Abstract Objective : Female sexual dysfunction is age related, progressive and highly prevalent, afffecting more than half of womens in general population. A Community based cross sectional study was implemented from March to April 2019 and a total of 823 participants were interviewed. Data was entered using Epi-data version 3.1 and then exported to SPSS Version 20 for analysis. Bivariate and multivariate logistic regression analysis was carried out to assess the association. The p-value less than 0.05 found from multivariate logistic regression analysis was considered as statistically significant. The strength of the association was presented by odds ratio with 95% C.I and model fitness was checked by Hosmer-Lemeshow goodness and goodness fit was 0.086. Result : A total of 823 women were completed the questionery with mean of Age and in this study the prevalence of Female sexual dysfunction was found to be 57.1% . Factors like , old age (AOR= 4 .12; 95% C.I:1.39, 12.22), being divorced (AOR=4.83; 95% C.I: 2.41, 9.66), widowed (AOR=3.28; 95% C.I:1.58, 6.80), single (AOR=6.24; 95% C.I: 2.22, 17.53), menopause (AOR=2.11; 95% C.I:1.06, 4.20), pill contraceptive (AOR=0.24; 95% C.I: 0.06, 0.95) were the factors associated with Female sexual dysfunction in the study area.

scholarly journals Burden of stillbirths and associated factors in Yirgalem Hospital, Southern Ethiopia: a facility based cross-sectional study

2019 ◽  
Author(s):  
Sintayehu Mengesha ◽  
Mesay Hailu Dangisso
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Birth Weight ◽  
Associated Factors ◽  
Cross Sectional Study ◽  
Southern Ethiopia ◽  
Sectional Study ◽  
Multivariate Logistic Regression ◽  
Cross Sectional ◽  
Prolonged Labour

Abstract Abstract Background Stillbirth is an adverse pregnancy outcome of public health importance causing considerable psychosocial burden for parents and their family. Studies on stillbirth are scarce in southern Ethiopia. An assessment of stillbirths and associated factors in health care settings helps in devising strategies for tailored interventions. Therefore, we assessed the burden of stillbirths and associated factors in Yirgalem Hospital, southern Ethiopia Methods: A facility based cross-sectional study was conducted between 1 August 2015 and 30 July 2016. We randomly selected medical records of women from a hospital delivery registry. The data were coded, entered, cleaned, and analysed by SPSS version 20. Bivariate analysis was employed to assess the association between independent and dependent variables. Multivariate logistic regression was used to identify independent risk factors for stillbirths and to control for confounding. The ethical clearance for the study was obtained from the Institutional Review Board of College of Medicine and Health Sciences, Hawassa University. Results: Of 374 reviewed records of women, 370 were included for the study. The magnitude of stillbirths was 92 per 1000 births. Majority, 15 (44.1%) of fetal deaths occurred after admission to the hospital. In multivariate logistic regression, stillbirths were higher among low birth-weight babies (<2500grams) (AOR: 10.70, 95% CI 3.18-35.97) than normal birth-weight babies (2500-<4000). Women who experienced a prolonged labour for more than 48 hours were 12 times (AOR: 12.15, 95% CI 1.76-84.12) more likely to have stillbirths than women without a prolonged labour. Women with obstetric complications were 19.8 times more likely to have stillbirths than women without obstetric complications. Similarly, women with at least 2 pregnancies were more likely to have stillbirths than women with less than two pregnancies (AOR: 4.39, 95% CI 1.21-15.85). Conclusion: We found a higher proportion of stillbirths than the National report and studies from other countries. Modifiable risk factors contributed to a higher risk of stillbirths in the study setting. Therefore, early identification and management of complications and reducing delays in getting care at each level of health system could avert preventable stillbirths. Key words: stillbirths, pregnancy outcomes, maternal health, Sothern Ethiopia

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