scholarly journals Moving knowledge across distance to improve healthcare – How telemedicine was used to improve maternal healthcare in bonsaaso cluster of amansie south district of Ghana

2021 ◽  
Vol 10 (2) ◽  
pp. 25-27
Author(s):  
Nathaniel Ebo Nsarko ◽  
Eric Akosah ◽  
Joseph Sakyi Baah ◽  
John Eliasu Mahama
Keyword(s):  
Logistic Regression ◽  
Reproductive Health ◽  
Unintended Pregnancy ◽  
Multiple Logistic Regression Analysis ◽  
Previous History ◽  
Social Consequences ◽  
Multiple Logistic Regression ◽  
Reproductive Health Services ◽  
Cross Sectional ◽  
Unintended Pregnancies

Introduction: Unintended pregnancies and unplanned births can have serious health, economic, and social consequences for women and their families. The immediate outcome of some unintended pregnancies is induced abortion which is unsafe in many countries that have highly restrictive abortion laws. In these countries, abortion often damages women’s health and sometimes results in their death. Method: A community based cross-sectional study was conducted. A total of 420 study participants were recruited. Simple random sampling was used to draw participants; the collected data were entered into EPI- Data version (7.9.0.) and then exported to SPSS Version 20.0 for analysis. Descriptive statistics, binary and multiple logistic regression analysis were carried out, Odds ratio with 95% CI were calculated. Result: the prevalence of unintended pregnancy was found to be 30.2%. Multiple logistic regression results showed that the previous history of abortion (AOR=8.262; 95%CI=3.692, 18.489), not discussing the sexual reproductive health (SRH) issues with their husband (AOR=3.086; 95%CI=1.830, 5.205) age of the last child less than three years (AOR=1.870; 95%CI=1.100, 3.179) were significantly associated with unintended pregnancy. Conclusion: This study shown that the prevalence of unintended pregnancy is high in the study area, hence, strengthening the provision of post abortion services, counseling on long term family planning services and male involvement in all reproductive health services are highly recommended.

scholarly journals Prevalence and associated factors of unintended pregnancy among pregnant women of reproductive age group in chencha woreda, gammo gofa zone, Southern Ethiopia

2021 ◽  
Vol 10 (2) ◽  
pp. 29-34
Author(s):  
Sintayehu Abebe ◽  
Abayneh Tunja ◽  
Woiynshet Gebretsadik
Keyword(s):  
Logistic Regression ◽  
Reproductive Health ◽  
Unintended Pregnancy ◽  
Multiple Logistic Regression Analysis ◽  
Previous History ◽  
Reproductive Age ◽  
Southern Ethiopia ◽  
Multiple Logistic Regression ◽  
Reproductive Health Services ◽  
Unintended Pregnancies

Introduction: Unintended pregnancies and unplanned births can have serious health, economic, and social consequences for women and their families. The immediate outcome of some unintended pregnancies is induced abortion which is unsafe in many countries that have highly restrictive abortion laws. In these countries, abortion often damages women’s health and sometimes results in their death. Method: A community based cross-sectional study was conducted. A total of 420 study participants were recruited. Simple random sampling was used to draw participants; the collected data were entered into EPI- Data version (7.9.0.) and then exported to SPSS Version 20.0 for analysis. Descriptive statistics, binary and multiple logistic regression analysis were carried out, Odds ratio with 95% CI were calculated. Result: the prevalence of unintended pregnancy was found to be 30.2%. Multiple logistic regression results showed that the previous history of abortion (AOR=8.262; 95%CI=3.692, 18.489), not discussing the sexual reproductive health (SRH) issues with their husband (AOR=3.086; 95%CI=1.830, 5.205) age of the last child less than three years (AOR=1.870; 95%CI=1.100, 3.179) were significantly associated with unintended pregnancy. Conclusion: This study shown that the prevalence of unintended pregnancy is high in the study area, hence, strengthening the provision of post abortion services, counseling on long term family planning services and male involvement in all reproductive health services are highly recommended.

scholarly journals Complications as important predictors of disability in ischemic stroke

2017 ◽  
Vol 36 (3) ◽  
pp. 197
Author(s):  
Rizaldy Taslim Pinzon ◽  
Rosa De Lima Renita Sanyasi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Ischemic Stroke ◽  
Logistic Regression Analysis ◽  
Predictive Factors ◽  
Recurrent Stroke ◽  
Multiple Logistic Regression Analysis ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Stroke Registry

Background<br />Stroke is the main cause of disability and death in many countries. The high incidence of disability in stroke survivors requires special attention to determine various predictive factors of disability. This study aimed to identify the various predictive factors of disability in ischemic stroke.<br /><br />Methods<br />This study was a cross sectional study on 4510 ischemic stroke patients. Each patient’s data had been recorded in the electronic stroke registry of Bethesda Hospital. Ischemic stroke diagnosis was confirmed by brain CT scan, which was interpreted by a neurologist and a radiologist. Disability was assessed using the modified Rankin scale. Predictors of disability were assessed. Multiple logistic regression analysis was used to analyse the data. <br /><br />Results<br />The subjects were predominantly males, &gt;60 years of age, and suffered stroke for the first time. The incidence of disability was 31.5% (1420/4510). Multiple logistic regression analysis showed that the presence of complications (OR: 6.43; 95% CI: 4.74-8.73; p&lt;0.001), decreased level of consciousness (OR: 4.82; 95% CI: 3.95-5.90; p &lt;0.001), onset ³3 hours (OR: 1.93; 95% CI: 1.52-2.45; p&lt;0.001), recurrent stroke (OR: 1.63; 95% CI: 1.39-1.90; p&lt;0.001), and age &gt;60 years (OR: 1.55; 95% CI: 1.35-1.79; p&lt;0.001) were independent predictive factors of disability.<br /><br />Conclusion<br />We demonstrated that a substantial proportion of patients with ischemic stroke become disabled. And the presence of complications was the most predictive factor of disability in ischemic stroke.

scholarly journals Determinants of the intensity of uremic pruritus in patients receiving maintenance hemodialysis: A cross-sectional study

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245370
Author(s):  
Jian-Hui Zhao ◽  
Qiu-Shuang Zhu ◽  
Yi-Wen Li ◽  
Li-Li Wang
Keyword(s):  
Logistic Regression ◽  
Multiple Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Maintenance Hemodialysis ◽  
Multiple Logistic Regression ◽  
Sectional Study ◽  
Cross Sectional ◽  
Urea Nitrogen ◽  
Uremic Pruritus ◽  
Hs Crp

Background Uremic pruritus (UP) is a common and frustrating symptom in patients receiving hemodialysis (HD). The majority of patients have mild to moderate itching of the skin, and a small percentage have severe itching, which seriously affects their quality of life and survival rate. However, little is known about factors that influence the intensity of itching in patients. Methods A cross-sectional study on uremic pruritus in male and female patients receiving HD was conducted in September 2019. This study included 148 eligible patients who received HD at the Blood Purification Center of Xinchang County People’s Hospital, Zhejiang Province, China from March 2019 to June 2019. We collected general data consisted of age, sex, body mass index (BMI), place of residence, educational level, diabetes mellitus status and duration of HD; as well as clinical, biochemical indicators, including serum calcium (Ca), serum phosphorus (P), serum albumin (ALB), haemoglobin (Hb), serum intact parathyroid hormone (iPTH), pre-dialysis serum urea nitrogen (BUN), normalized protein catabolic rate (nPCR), urea nitrogen clearance index (KT/V), ferritin (FER) and pre-dialysis serum creatinine (sCR). We also assayed the inflammatory cytokine serum high sensitivity C-reactive protein (hs-CRP). The Five-Dimensional Itching Scale (5DIS) was used to evaluate the degree of skin itching (none, mild, moderate, or severe). We used multiple logistic regression to analyze influencing factors on the degree of skin itching in patients with UP. Results Of the 148 patients, 60 had uremic pruritus (incidence rate, 40.54%). These included 22 cases of mild skin itching (14.86%), 30 of moderate skin itching (20.27%), and 8 of severe skin itching (5.41%). Compared with uremia patients without skin pruritus, patients with UP had higher levels of iPTH, Hb, BUN, nPCR, and hs-CRP. The composition ratio showed significant differences between urban and rural patients with different degrees of skin itching (P = 0.017); moreover, the difference of iPTH and hs-CRP levels were statistically significant (P = 0.009 and < 0.001, respectively). Using no itching as a reference, multiple logistic regression analysis showed that as hs-CRP level increased, the patient’s risks of mild skin itching (odds ratio [OR] = 1.740; 95% confidence interval [CI], 1.061–2.854; P = 0.028), moderate skin itching (OR = 2.8838 95% CI, 1.744–4.718; P < 0.001), and severe skin itching (OR = 9.440; 95% CI, 3.547–25.124; P < 0.001) all increased as well. Compared with urban residents, rural residents have a higher risk of moderate itching (OR = 3.869; 95% CI, 1.099–13.622; P = 0.035). Conclusion Levels of hs-CRP were associated with the intensity of skin itching in patients with UP. Higher hs-CRP levels were closely related to severe skin itching. The relationship between the intensity of skin itching and the environment in maintenance hemodialysis patients needs further clarification.

scholarly journals Gender Difference in the Association Between Serum Uric Acid Level and Metabolic Syndrome and Components: A Cross-Sectional Analysis Among Chinese Young Adults

2021 ◽  
Author(s):  
Zhengmei Fang ◽  
Yan Chen ◽  
Lijun Zhu ◽  
Lianping He ◽  
Yuelong Jin ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Young Adults ◽  
Logistic Regression ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Multiple Logistic Regression Analysis ◽  
Confounding Factors ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Chinese Young Adults

Abstract Background This study aimed to investigate the associations between serum uric acid (SUA) levels and metabolic syndrome (MetS) and MetS components in Chinese young adults. Methods A cross-sectional survey was conducted among 3044 young adults (1266 men and 1778 women). The anthropometric index, lipid profile, fasting blood glucose and SUA levels were measured. Male and female participants were grouped according to the quartiles of SUA level separately. Multiple logistic regression analyses were performed to evaluate the association of SUA quartiles with MetS and its components. Results The overall prevalence of hyperuricemia and MetS was 29.7% and 2%, respectively. Multiple logistic regression analysis revealed that compared with the lowest 2 quartiles of SUA together, the highest quartile showed an association with the prevalence of MetS and high triglyceride in males, and OR (95% CI) were 3.438(1.090-10.841) and 4.364(2.133–8.930) respectively after adjustments confounding factors. In terms of abdominal obesity, compared with the lowest 2 quartiles of SUA together, the OR (95% CI) was 1.976(1.128–3.459) for those in the third quartile and 1.766(1.020–3.057) for those in the highest quartile after adjustments confounding factors in females. Conclusions This study suggested a significant positive relationship between SUA and MetS and its components among young adults. Hence, routine measurement of SUA is recommended to prevent hyperuricemia and its related complications.

scholarly journals Prevalence of Depression and its Associated Factors among Medical Students in International Islamic University Malaysia (IIUM)

2021 ◽  
Vol 20 (4) ◽  
Author(s):  
Abdul Hadi Said ◽  
Muhammad Addin Nur Hakim Azmi ◽  
Haziqah Mohd Hanapiah ◽  
Anis Wardati Abdullah ◽  
Mohd Shaiful Ehsan Shalihin
Keyword(s):  
Physical Activity ◽  
Risk Factors ◽  
Logistic Regression ◽  
Medical Students ◽  
Associated Factors ◽  
Multiple Logistic Regression Analysis ◽  
Regular Physical Activity ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Prevalence Of Depression

Introduction: Globally, depression is one of the serious problems reported among medical students. Various studies reported that the prevalence of depression among medical students was high due to multiple risk factors. Therefore, this study aimed to measure the prevalence of depression and its associated factors among medical students in International Islamic University Malaysia (IIUM). Materials and Methods: A cross-sectional study was conducted among 500 medical students in IIUM Kuantan. A validated self-reported questionnaire using Depression Anxiety Stress Score 21 was distributed during the second semester of the 2018/2019 session. Descriptive statistics were used to measure the prevalence of depression. Chi-square test, Fisher’s exact test, independent sample T-test, and multiple logistic regression were used to determine the association between risk factors and depression. Result: The prevalence of depression was 39% with 10.5% of them were having severe and extremely severe level of depression. Multiple logistic regression analysis showed regular physical activity (AOR=0.64, 95% CI: 0.42-0.98) and Tahajjud prayer practice (AOR: 0.76, 95% CI 0.66-0.88) are two protective factors against depression among medical students. Conclusion: About two out of every five IIUM medical students had depression. Regular physical activity and Tahajjud prayer practised may reduce the risk of depression and should be encouraged.

scholarly journals Knowledge, Attitude and Practice on Dengue among Adult Population in Felda Sungai Pancing Timur, Kuantan, Pahang

2020 ◽  
Vol 16 (2) ◽  
Author(s):  
Karimah Hanim AA ◽  
Razman MR ◽  
Jamalludin AR ◽  
Nasreen EH ◽  
Htike Myat Phyu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Adult Population ◽  
Descriptive Analysis ◽  
Multiple Logistic Regression Analysis ◽  
Behavioral Problem ◽  
Breeding Site ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Attitude And Practice ◽  
Knowledge Attitude And Practice

Background: With increasing number of dengue cases in Malaysia, it’s of utmost importance that immediate action be taken to limit the epidemic. Since dengue control is a behavioral problem, the knowledge, attitude and practice in population needs to be studied in order to control the disease. Hence, the aim of this study is to assess knowledge, attitude and practice regarding dengue and its associated factors among adult residents of Felda Sungai Panching Timur (SPT), Kuantan, Pahang, 2014. Method: A cross sectional study was carried out involving 265 adult respondents. A face to face  interview questionnaire which was divided into 2 parts (Part A: Sociodemoghraphic; Part B: Knowledge, Attitude and Practice) was used. Data was analyzed using descriptive statistics, simple and multiple logistic regression. Results: 53.2% of the respondents had good knowledge about dengue and it was found that the main source of information from mass media (76.6%). However, only 43.4% were found to have good attitude towards dengue. Multiple Logistic Regression analysis showed there was no association between sociodemographic characteristics with the level of knowledge and attitude towards dengue. There was also no association found between knowledge of dengue and the attitude of the respondents towards dengue. Descriptive analysis on the practice of dengue showed majority of the respondents who had possible breeding site for Aedes mosquitos (water container, drains/gutter roof/flower pots/tires) in their compound practiced good habit in preventing the Aedes mosquitoes from breed. Conclusion: Although knowledge and practice towards dengue is good, their attitude require improvement.

scholarly journals Poor Sleep Quality among Medical Students in International Islamic University Malaysia (IIUM) and Its Association with Mental Health and other Factors

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
Said AH ◽  
Yusof MZ ◽  
Mohd FN ◽  
Azmi MANH ◽  
Mohd Hanapiah H ◽  
...  
Keyword(s):  
Mental Health ◽  
Logistic Regression ◽  
Medical Students ◽  
Sleep Quality ◽  
Multiple Logistic Regression Analysis ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Multiple Logistic Regression ◽  
Poor Sleep Quality ◽  
Cross Sectional

INTRODUCTION: Poor sleep quality is a common problem experienced by medical students worldwide. Therefore, this study aimed to measure the prevalence of poor sleep quality among medical students in International Islamic University Malaysia (IIUM) and its association with mental health and other factors. MATERIALS AND METHODS: A cross-sectional study using convenience sampling was conducted among 500 medical students in IIUM Kuantan. A validated self-reported questionnaire including sociodemographic, socioeconomic, lifestyle, Pittsburgh Sleep Quality Index and Depression Anxiety Stress Score 21 was distributed from 15th July to 31st August 2019. Descriptive statistics were used to measure the prevalence of poor sleep quality. Chi- square test, Fisher’s exact test, independent sample T-test, and multiple logistic regression were used to measure the association between risk factors and sleep quality. RESULT: The response rate was 91.2%. The prevalence of poor sleep quality was 59.6%. Multiple logistic regression analysis revealed level of study (clinical year (AOR=0.44, 95% CI: 0.29 - 0.66) and depression (yes (AOR: 1.71, 95% CI 1.03-2.83) contributed independently on poor sleep quality among medical students. There was no significant relationship between tahajjud practice and poor sleep quality. CONCLUSION: More than half of IIUM medical students have poor sleep quality. Those students who were in the pre-clinical year and had depression were independently associated with the occurrence of poor sleep quality. Early intervention is compulsory to overcome this problem among medical students in IIUM.  

scholarly journals Incidence of post-operative nausea and vomiting and it’s predictors among adult elective surgical patients at Jimma Medical Center, South West Ethiopia

2020 ◽  
Author(s):  
Mohammed Suleiman Obsa ◽  
Dinkisisa Chemeda Edosa ◽  
Zemenu Muluken Desalegn ◽  
Nega Desalegn Fanta ◽  
Sintayehu Mulugeta Tamiru ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Postoperative Nausea ◽  
Medical Center ◽  
Multiple Logistic Regression Analysis ◽  
Postoperative Nausea And Vomiting ◽  
Nausea And Vomiting ◽  
P Value ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Post Operative Nausea

Abstract Background Post-operative nausea and vomiting is the most frequent side effect of anesthesia. It affects 20 - 30% of all post-operative and 70%-80% high risk patients. Consequently, it is one of the most frequently observed adverse events associated with the provision of anesthesia. Thus this study is aimed to assess the incidence and associated factors of post-operative nausea and vomiting. Methods This cross-sectional study was conducted using a consecutive sampling method. Regular supervision and follow up were made. Data was entered in to Epi info version 7 software and transported to SPSS version 20 for analysis. Odd ratio and 95% confidence interval was computed. The findings of the study were reported using tables, figures and narration. Variables that were found to be candidate (p value < 0.25) on binary logistic regression entered into a multiple logistic regression analysis to identify independent predictors of post-operative nausea and vomiting. Results The results of this study indicated that the incidence of postoperative nausea and vomiting was 27.4% . Output of multiple logistic regression revealed that female sex (AOR = 4.065 (2.090 - 7.906), history of motion sickness (AOR = 2.836 (1.582 - 5.083), Gynecologic type of surgery (AOR = 3.782 (1.156 - 12.373), long duration of anaesthesia (> 60 min) (AOR = 2.974 (1.491 - 5.933) and administration of post-operative opioids (AOR = 2.333 (1.221 - 4.457) were considered as independent predictors of postoperative nausea and vomiting at P value < 0.05. Conclusion The present finding has shown that the overall incidence of postoperative nausea and vomiting is high 27.4% therefore provision of anti-emetic prophylaxis is reccomended.

scholarly journals Gender Difference in the Association Between Serum Uric Acid Level and Metabolic Syndrome and Components: A Cross-Sectional Analysis among Chinese Young Adults

2020 ◽  
Author(s):  
Zhengmei Fang ◽  
Yan Chen ◽  
Lijun Zhu ◽  
Lianping He ◽  
Yuelong Jin ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Young Adults ◽  
Logistic Regression ◽  
Uric Acid ◽  
Serum Uric Acid ◽  
Multiple Logistic Regression Analysis ◽  
Confounding Factors ◽  
Multiple Logistic Regression ◽  
Cross Sectional ◽  
Chinese Young Adults

Abstract Background: This study aimed to investigate the associations between serum uric acid (SUA) levels and metabolic syndrome (MetS) and MetS components in Chinese young adults. Methods: A cross-sectional survey was conducted among 3044 young adults (1266 men and 1778 women). The anthropometric index, lipid profile, fasting blood glucose and SUA levels were measured. Male and female participants were grouped according to the quartiles of SUA level separately. Multiple logistic regression analyses were performed to evaluate the association of SUA quartiles with MetS and its components. Results: The overall prevalence of hyperuricemia and MetS was 29.7% and 2%, respectively. Multiple logistic regression analysis revealed that compared with the lowest 2 quartiles of SUA together, the highest quartile showed an association with the prevalence of MetS and high triglyceride in males, and OR (95% CI) were 3.438(1.090-10.841) and 4.364(2.133-8.930) respectively after adjustments confounding factors. In terms of abdominal obesity, compared with the lowest 2 quartiles of SUA together, the OR (95% CI) was 1.976(1.128-3.459) for those in the third quartile and 1.766(1.020-3.057) for those in the highest quartile after adjustments confounding factors in females. Conclusions: This study suggested a significant positive relationship between SUA and MetS and its components among young adults. Hence, routine measurement of SUA is recommended to prevent hyperuricemia and its related complications.

scholarly journals Determinan Kepatuhan Penggunaan Alat Pelindung Diri (APD) Pada Pekerja PT. X Proyek Pembangunan Tahun 2019

2020 ◽  
Vol 2 (2) ◽  
pp. 25-39
Author(s):  
Rizka Annisa ◽  
Hengki Frengki Manullang ◽  
Yessi Octavia Simanjuntak
Keyword(s):  
Logistic Regression ◽  
Multiple Logistic Regression Analysis ◽  
Health And Safety ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Predisposing Factors ◽  
International Labor Organization ◽  
Multiple Logistic Regression ◽  
Enabling Factors ◽  
Cross Sectional

International Labor Organization (ILO) 2019, every year 380.000 workers or 13,7 percent of the 2,78 million people die as a result of accidents or occupational diseases, one of the causes is due to the low awareness of employers and employees of the importance of implementing Occupational Health and Safety ( K3), there are around 374 million non-fatal work-related injuries and diseases each year, many of which result in work absences. Compliance is a change in behavior from behavior that does not obey the rules to behavior that obeys the rules. Human behavior is referred to in the "S-O-R" theory through the process of Stimulus → Organism → Response. This research aims to analyze the determinants of compliance with the use of self protection on PT. X Project Development in 2019. The research method used in this study is a quantitative analytic survey with cross sectional approach. The sampling of this research used probability sampling with simple random sampling technique. Data collection was done by interview using a questionnaire. Data analysis used was univariate, bivariate using the chi-square test and multivariate using the Multiple Logistic Regression test with the Enter Method. It was found that out of 60 workers there were 15 workers (25%) using complete PPE and 45 workers (75%) using incomplete PPE. The results showed that there was no influence of worker characteristics (age, education, years of service), predisposing factors (knowledge), enabling factors (availability of tools) on the compliance of PPE use (p> 0,05), predisposing factors (attitude p = 0,003) and factors reinforcement (supervision (p = 0,034), sanctions (p = 0,009) have an influence on the compliance with the use of PPE on workers so that it includes the multivariate analysis criteria (p <0,25) . The results of multiple logistic regression analysis with the Enter Method show that the variables that show the most significant influence are attitudes with values (p = 0,004) and Ex (B) = (14,191). Suggestions for workers to follow the policies that apply in the company, especially in increasing compliance with the use of PPE for comfort in the work environment, especially for the safety and health of workers and all relevant parties.

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