scholarly journals Minimum Acceptable Diet Practice and its Associated Factors among Children’s Aged 6–23 Months in Rural Communities of Goncha District, North West Ethiopia, 2020

2020 ◽  
Author(s):  
Birie ◽  
Kassa ◽  
Mrs Kebede
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Rural Communities ◽  
Logistic Regression Analysis ◽  
Associated Factors ◽  
Institutional Delivery ◽  
Household Wealth ◽  
Outcome Variable ◽  
Multivariable Logistic Regression Analysis ◽  
Multivariable Logistic Regression

Abstract Introduction: 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’s with diversified diet is practiced improperly in developing countries including Ethiopia particularly in the rural community. Interventions are intended to undertake the nutrition problems in children in the country. However, the progress was not satisfactory, particularly; minimum acceptable diet has increased from 3% to 7% in a decade (2005-2016). Objective: To determine the proportion of minimum acceptable diet practice and its associated factors among children’s aged 6-23 months in rural communities of Goncha district, 2020Methodology: Community based cross-sectional study was employed at rural communities of Goncha district from June 15 to July 15 2020. Multi stage sampling technique was used to select study subjects, and interview administered structured questionnaire was used to collect the data. Data was 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 between minimum acceptable diet and independent variable. Then, P-value <0.05 with 95% CI on multivariable logistic regression analysis were used to identify the independent predictor of outcome variable Result: A total of 430 mothers who have children aged 6-23 months were included in the analysis with 98% of response rate. About 12.6% of children’s 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 notional and world health organization’s recommendation. So, strengthening institutional delivery, improving the wealth of the community and exposure to media, and finally empowering women’s for education are recommended.

scholarly journals 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 ◽  
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.

scholarly journals Impact of histologic chorioamnionitis on pulmonary hypertension and respiratory outcomes in preterm infants

2018 ◽  
Vol 8 (2) ◽  
pp. 204589401876016 ◽  
Author(s):  
Sook Kyung Yum ◽  
Min-Sung Kim ◽  
Yoojin Kwun ◽  
Cheong-Jun Moon ◽  
Young-Ah Youn ◽  
...  
Keyword(s):  
Pulmonary Hypertension ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Preterm Infants ◽  
Logistic Regression Analysis ◽  
Multivariable Logistic Regression Analysis ◽  
Multivariable Logistic Regression ◽  
Histologic Chorioamnionitis ◽  
Respiratory Outcomes ◽  
Lower Birthweight

We aimed to evaluate the association between the presence of histologic chorioamnionitis (HC) and development of pulmonary hypertension (PH) during neonatal intensive care unit (NICU) stay. Data of preterm infants born at 32 weeks of gestation or less were reviewed. The development of PH and other respiratory outcomes were compared according to the presence of HC. Potential risk factors associated with the development of PH during NICU stay were used for multivariable logistic regression analysis. A total of 188 infants were enrolled: 72 in the HC group and 116 in the no HC group. The HC group infants were born at a significantly shorter gestational age and lower birthweight, with a greater proportion presenting preterm premature rupture of membrane (pPROM) > 18 h before delivery. More infants in the HC group developed pneumothorax ( P = 0.008), and moderate and severe bronchopulmonary dysplasia (BPD; P = 0.001 and P = 0.006, respectively). PH in the HC group was significantly more frequent compared to the no HC group (25.0% versus 8.6%, P = 0.002). Based on a multivariable logistic regression analysis, birthweight ( P = 0.009, odds ratio [OR] = 0.997, 95% confidence interval [CI] = 0.995–0.999), the presence of HC ( P = 0.047, OR = 2.799, 95% CI = 1.014–7.731), and duration of invasive mechanical ventilation (MV) > 14 days ( P = 0.015, OR = 8.036, 95% CI = 1.051–43.030) were significant factors. The presence of HC and prolonged invasive MV in infants with lower birthweight possibly synergistically act against preterm pulmonary outcomes and leads to the development of PH. Verification of this result and further investigation to establish effective strategies to prevent or ameliorate these adverse outcomes are needed.

scholarly journals Hounsfield unit attenuation value can differentiate pyonephrosis from hydronephrosis and predict septic complications in patients with obstructive uropathy

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Luca Boeri ◽  
Irene Fulgheri ◽  
Franco Palmisano ◽  
Elena Lievore ◽  
Vito Lorusso ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Obstructive Uropathy ◽  
Hounsfield Unit ◽  
Infectious Complications ◽  
Multivariable Logistic Regression Analysis ◽  
Ureteral Catheter ◽  
Septic Complications ◽  
Multivariable Logistic Regression

Abstract We aimed to assess the role of computerized tomography attenuation values (Hounsfield unit—HU) for differentiating pyonephrosis from hydronephrosis and for predicting postoperative infectious complications in patients with obstructive uropathy. We analysed data from 122 patients who underwent nephrostomy tube or ureteral catheter placement for obstructive uropathy. A radiologist drew the region of interest for quantitative measurement of the HU values in the hydronephrotic region of the affected kidney. Descriptive statistics and logistic regression models tested the predictive value of HU determination in differentiating pyonephrosis from hydronephrosis and in predicting postoperative sepsis. A HU cut-off value of 6.3 could diagnose the presence of pyonephrosis with 71.6% sensitivity and 71.5% specificity (AUC 0.76; 95%CI: 0.66–0.85). At multivariable logistic regression analysis HU ≥ 6.3 (p ≤ 0.001) was independently associated with pyonephrosis. Patients who developed sepsis had higher HU values (p ≤ 0.001) than those without sepsis. A HU cut-off value of 7.3 could diagnose the presence of sepsis with 76.5% sensitivity and 74.3% specificity (AUC 0.79; 95%CI: 0.71–0.90). At multivariable logistic regression analysis, HU ≥ 7.3 (p ≤ 0.001) was independently associated with sepsis, after accounting for clinical and laboratory parameters. Measuring HU values of the fluid of the dilated collecting system may be useful to differentiate pyonephrosis from hydronephrosis and to predict septic complications in patients with obstructive uropathy.

scholarly journals Weight Loss in Parkinson’s Disease: The Relationship with Motor Symptoms and Disease Progression

2018 ◽  
Vol 2018 ◽  
pp. 1-6 ◽  
Author(s):  
Maria G. Cersosimo ◽  
Gabriela B. Raina ◽  
Luis A. Pellene ◽  
Federico E. Micheli ◽  
Cristian R. Calandra ◽  
...  
Keyword(s):  
Weight Loss ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Disease Progression ◽  
Logistic Regression Analysis ◽  
Disease Duration ◽  
Multivariable Logistic Regression Analysis ◽  
Single Session ◽  
Multivariable Logistic Regression ◽  
The Relationship

Objectives.To determine the prevalence of weight loss (WL) in PD patients, its relationship to the severity of motor manifestations and appetite changes.Methods.144 PD patients and 120 controls were evaluated in a single session. All subjects were asked about changes in body weight and appetite. PD patients were examined with the UPDRS-III and the Hoehn and Yahr (HY) scales. Subscores of tremor, bradykinesia /rigidity, and non-dopaminergic symptoms (NDS) were analyzed individually. Multivariable logistic regression analysis was used to determine an association between WL and PD motor manifestations.Results.48.6 % of PD patients presented WL compared to 20.8 % of controls (p < 0.001). Weight losers were significantly older and had longer disease duration, higher scores in HY stages, UPDRS-III, and NDS-subscore. Multivariable logistic regression analysis demonstrated that WL was associated with NDS-subscore (p= 0.002; OR: 1.33) and older age (p= 0.037; OR: 1.05). Appetite in PD cases losing weight was unchanged (35.7 %), decreased (31.4 %), or even increased (32.9).Conclusions.Our results showed that WL occurs in almost half of PD patients and it is largely the consequence of disease progression rather than involuntary movements or a decrease in food intake.

scholarly journals Treatment Strategy of Oxaliplatin-induced Peripheral Neuropathy: A Retrospective, Nationwide Study

2021 ◽  
Author(s):  
Satoshi Yokoyama ◽  
Chihiro Nakagawa ◽  
Kouichi Hosomi
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Peripheral Neuropathy ◽  
Logistic Regression Analysis ◽  
Multivariable Logistic Regression Analysis ◽  
Prescription Patterns ◽  
Nationwide Study ◽  
Multivariable Logistic Regression ◽  
Oxaliplatin Treatment ◽  
Prolonged Duration

Abstract PurposeChemotherapy-induced peripheral neuropathy (CIPN) is a common adverse events of cancer treatment; however, no drug is recommended for the prevention of CIPN. In Japan, several drugs such as Gosha-Jinki-Gan and duloxetine have been frequently administered for the treatment of CIPN. The aim of this study was to elucidate prescription patterns of drugs administered for the treatment of CIPN caused by oxaliplatin and the association between these drugs and the duration of oxaliplatin treatment.MethodsWe conducted a retrospective nationwide study using the JMDC administrative claims database (January 2005–June 2020). Patients newly treated with oxaliplatin were identified, and prescription patterns of CIPN medication including Gosha-Jinki-Gan, pregabalin, duloxetine, mecobalamin, and mirogabalin were investigated. The primary outcome was the duration of oxaliplatin treatment. Multivariable logistic regression analysis was performed to examine the association between CIPN medication and duration of oxaliplatin treatment.ResultsA total of 4,739 patients who newly received oxaliplatin were identified. Of these, 759 (16.0%) had received CIPN medication. Duloxetine was administered in 99 (2.1%) patients. Multivariable logistic regression analysis revealed that CIPN medication was significantly associated with the prolonged duration of oxaliplatin treatment (odds ratio: 2.35, [95% confidence interval: 1.99-2.77]).ConclusionReal-world data demonstrated that the administration rate of CIPN medication was higher in patients who underwent oxaliplatin treatment for over 6 months. Increasing administration preference of duloxetine and conducting prospective studies to verify the causal relationship between CIPN medication and prolonged duration of oxaliplatin treatment are needed.

scholarly journals Post-cesarean section surgical site infection and associated factors in East Gojjam zone primary hospitals, Amhara region, North West Ethiopia, 2020

PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261951
Author(s):  
Hulubante Bizuayew ◽  
Haimanot Abebe ◽  
Getachew Mullu ◽  
Likinaw Bewuket ◽  
Daniel Tsega ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Cesarean Section ◽  
Surgical Site Infection ◽  
Logistic Regression Analysis ◽  
Multivariable Analysis ◽  
Outcome Variable ◽  
P Value ◽  
Multivariable Logistic Regression Analysis ◽  
Site Infection

Purpose Maternal surgical site infection after cesarean delivery is a clinical problem which contributes to significant morbidity and mortality. In Ethiopia admissions following cesarean section due to surgical site infection have been routine activities of health care institutions but there is limited scientific evidence on both the magnitude of the problem and factors associated with it making prevention mechanisms less effective. Therefore, this study aimed to assess magnitude and risk factors of post-cesarean section surgical site infection at primary hospitals of East Gojjam Zone, Northwest Ethiopia. Methods Institution-based cross sectional study with retrospective chart review was conducted from September 10–30 /2020 at 3 randomly selected primary hospitals of east Gojjam zone. The data were entered in Epi data version 3.1 and exported to Statistical Package for Social Science Software version 26. Post-cesarean section surgical site infection was measured based on disease classification and definition of the term by Center for Disease Control and Prevention. After checking for presence of multicollinarity, presence and degree of association of factors with outcome variable were computed through logistic regression analysis. Factors with P value ≤ 0.2 in bi-variable logistic regression analysis were included in the multivariable logistic regression analysis and those variables with P-value of <0.05 in multivariable analysis were considered statistically significant. Result From 622 medical records of women who underwent cesarean section, 77 (12.4%) of them developed surgical site infection. Rural residence [(AOR = 2.30, 95%CI: (1.29, 4.09)], duration of labor greater than 24hrs [(AOR = 3.48, 95%CI: (1.49, 8.09)], rupture of membrane>12hrs[(AOR = 4.61,95%CI:(2.34,9.09)], hypertension[(AOR = 3.14,95%CI:(1.29,7.59)] and preoperative Hematocrit ≤30%[(AOR = 3.22,95%CI:(1.25,8.31)] were factors significantly associated with post-cesarean section surgical site infections. Conclusion Magnitude of post-cesarean section surgical site infection was a significant problem in primary hospitals. Minimizing prolonged labor; minimize early rupture of membrane, properly managing patients with comorbidities like hypertension, strengthen prophylaxis and treatment for anemia during antenatal care and raising awareness for rural residents can reduce the problem. Zonal police makers should give emphasis to reduce its burden.

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

PLoS ONE ◽  
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.

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

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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