scholarly journals Factors affecting neonatal mortality in the general population: evidence from the 2016 Ethiopian Demographic and Health Survey (EDHS)—multilevel analysis

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Haileab Fekadu Wolde ◽  
Kedir Abdela Gonete ◽  
Temesgen Yihunie Akalu ◽  
Adhanom Gebreegziabher Baraki ◽  
Ayenew Molla Lakew
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
General Population ◽  
Antenatal Care ◽  
Neonatal Mortality ◽  
Multivariable Logistic Regression Analysis ◽  
Factors Affecting ◽  
Term Birth ◽  
Female Birth ◽  
Twin Birth

Abstract Objective This study was aimed to identify factors affecting neonatal mortality in Ethiopia. Results According to the multilevel multivariable logistic regression analysis, the odds of neonatal mortality was significantly associated with husbands with no education (AOR = 2.30, 95% CI 1.10, 4.83), female birth (AOR = 0.57, 95% CI 0.39, 0.83), twin birth (AOR = 13.62, 95% CI 7.14, 25.99), pre-term birth (AOR = 15.07, 95% CI 7.80, 29.12) and mothers with no antenatal care (ANC) visit during pregnancy (AOR = 1.90 95% CI 1.11, 3.25).

scholarly journals Perceived discrimination and psychotic experiences in the English general population

2019 ◽  
Vol 62 ◽  
pp. 50-57
Author(s):  
Andrew Stickley ◽  
Hans Oh ◽  
Tomiki Sumiyoshi ◽  
Zui Narita ◽  
Jordan E. DeVylder ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Sexual Orientation ◽  
General Population ◽  
Logistic Regression Analysis ◽  
Perceived Discrimination ◽  
Auditory Hallucination ◽  
Psychiatric Morbidity ◽  
Multivariable Logistic Regression Analysis ◽  
Psychotic Experiences

Abstract Background: Perceived discrimination has been linked to psychotic experiences (PEs). However, as yet, information is lacking on the relationship between different forms of discrimination and PEs. This study examined this association in the English general population. Methods: Nationally representative, cross-sectional data were analyzed from 7363 adults aged 16 and above that came from the Adult Psychiatric Morbidity Survey, 2007. Self-reported information was obtained on six forms of discrimination (ethnicity, sex, religious beliefs, age, physical health problems/disability, sexual orientation), while PEs were assessed with the Psychosis Screening Questionnaire (PSQ). Multivariable logistic regression analysis was used to assess associations. Results: In a fully adjusted logistic regression analysis, any discrimination was significantly associated with PEs (odds ratio [OR]: 2.47, 95% confidence interval [CI]: 1.75–3.48). All individual forms of discrimination were significantly associated with PEs except sexual orientation. Multiple forms of discrimination were associated with higher odds for PEs in a monotonic fashion with those experiencing ≥ 3 forms of discrimination having over 5 times higher odds for any PE. In addition, experiencing any discrimination was associated with significantly increased odds for all individual forms of PE with ORs ranging from 2.16 (95%CI: 1.40–3.35) for strange experience to 3.36 (95%CI: 1.47–7.76) for auditory hallucination. Conclusion: Different forms of discrimination are associated with PEs in the general population. As discrimination is common at the societal level, this highlights the importance of public policy and evidence-based interventions to reduce discrimination and improve population mental health.

scholarly journals Factors Affecting Postnatal Care in Bangladesh: Clustered Data Analysis

2018 ◽  
Vol 66 (1) ◽  
pp. 59-65
Author(s):  
Mehejabeen Mahbub ◽  
Most Fatima Tuz Zahura
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Data Analysis ◽  
Antenatal Care ◽  
Regression Model ◽  
Birth Order ◽  
Postnatal Care ◽  
Logistic Regression Model ◽  
Wealth Index ◽  
Factors Affecting

The study aims to determine the factors affecting postnatal care in Bangladesh using the data extracted from Bangladesh Demographic and Health Survey (BDHS), 2014. For the purpose of regression analysis, mixed logistic regression model has been utilized to take into account the possible correlation among subjects within clusters. It is found that region, place of residence, mother’s education, wealth index, access to media, birth order and antenatal care visits have significant association with postnatal care. Dhaka Univ. J. Sci. 66(1): 59-65, 2018 (January)

scholarly journals The discrepancy between radiographically-assessed and self-recognized hallux valgus in a large population-based cohort

2022 ◽  
Vol 23 (1) ◽  
Author(s):  
Takumi Matsumoto ◽  
Junya Higuchi ◽  
Yuji Maenohara ◽  
Song Ho Chang ◽  
Toshiko Iidaka ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
General Population ◽  
Hallux Valgus ◽  
Logistic Regression Analysis ◽  
Epidemiological Studies ◽  
Multivariable Logistic Regression Analysis ◽  
Female Sex ◽  
Multivariable Logistic Regression ◽  
Self Recognition

Abstract Background There has been a paucity of literature revealing the discrepancy between self-recognition about hallux valgus (HV) and radiographically-evaluated foot configuration. Knowing this discrepancy will help to make a comparative review of the findings of previous literatures about epidemiological studies about the prevalence of HV. Questions/purposes (1) Is there a discrepancy between radiographically-assessed and self-recognized HV in the general population? (2) What factors affect the self-recognition of HV in the general population? Methods The fifth survey of the Research on Osteoarthritis/Osteoporosis against Disability study involved 1996 participants who had undergone anterior-posterior radiography of bilateral feet and answered a simple dichotomous questionnaire on self-recognition of HV. Measurements of the HV angle (HVA), interphalangeal angle of the hallux (IPA), and intermetatarsal angle between 1st and 2nd metatarsals (IMA) were performed using radiographs. Radiographic diagnosis of HV was done using the definition of hallux valgus angle of 20° or more. After univariate comparison of the participant backgrounds and radiographic measurements between participants with or without self-recognition of HV, multivariable logistic regression analysis was conducted in order to reveal independent factors affecting self-recognition. Results Significant difference was found between the prevalence of radiographically-assessed and self-recognized HV (29.8% vs. 16.5%, p <  0.0001). The prevalence of self-recognized HV increased with the progression of HV severity from a single-digit percentage (normal grade, HVA < 20°) up to 100% (severe grade, HVA ≥ 40°). A multivariable logistic regression analysis demonstrated that HVA, IMA, and female sex were independent positive factors for self-recognition of HV (HVA [per 1° increase]: OR, 1.18; 95% CI, 1.15–1.20; p <  0.0001; IMA [per 1° increase]: OR, 1.15; 95% CI, 1.09–1.20; p <  0.0001; and female sex [vs. male sex]: OR, 3.47; 95% CI, 2.35–5.18; p <  0.0001). Conclusions There was a significant discrepancy between radiographically-assessed and self-recognized HV which narrowed with the progressing severity of HV. HVA, IMA, and female sex were independent positive factors for self-recognition of HV. Attention needs to be paid to potentially lowered prevalence of HV in epidemiological studies using self-reporting based on self-recognition.

scholarly journals POS1219 SARS-COV-2 VACCINE HESITANCY AMONG PATIENTS WITH RHEUMATIC AND MUSCULOSKELETAL DISEASES: A MESSAGE FOR RHEUMATOLOGISTS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 893.1-893
Author(s):  
R. Priori ◽  
G. Pellegrino ◽  
S. Colafrancesco ◽  
C. Alessandri ◽  
F. Ceccarelli ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
General Population ◽  
Logistic Regression Analysis ◽  
Online Survey ◽  
Musculoskeletal Diseases ◽  
Statistical Tests ◽  
Vaccine Hesitancy ◽  
Multivariable Logistic Regression Analysis ◽  
To Receive

Background:Conflicting results have been published regarding the risk of infection with SARS-CoV-2 and development of severe COVID-19 among patients affected by rheumatic musculoskeletal diseases (RMDs). [1-4] Taking into account the lack of effective drugs to treat the COVID-19 and despite the burdensome and costly lockdown measures adopted to counteract the spread of SARS-CoV-2, effective and safe vaccines appear reasonably to be the best strategy for fighting the virus. [6] Before vaccines availability, several reports showed that a non-negligible proportion of subjects, among the general population or within specific categories, would have refused vaccination against COVID-19 once possible;[6, 7] data on vaccination hesitation among patients with RMD are not available yet.Objectives:This study aimed to evaluate the attitude of patients with RMDs to vaccination against SARS-CoV-2 and explore the factors which may influence it.Methods:During the first weeks of Europe vaccination campaign, we proposed an online survey to Italian adult patients with RMDs followed up in the Rheumatology Unit. All patients fulfilled the most recent classification criteria for each disease. HCs were recruited using a “best friend” system. The informed consent was collected for all participants. The questionnaires included the following items: demographic features, presence of comorbidities, educational level, and ongoing therapy. The individual’s perception of the COVID-19 vaccination, as well as the willingness to receive a COVID-19 vaccination with targeted questions was properly assessed.For the statistical analyses, Mann-Whitney and Chi-square tests were used. To account for baseline clinical differences among RMD-patients and controls, multivariable logistic regression analysis was used; covariates were selected according to a clinical criterion. The hypothesis that willingness for COVID-19 vaccine varied in specific subgroups of patients was tested using interaction terms at logistic regression analysis. All statistical tests were performed using the RStudio graphical interface and all tests were two-sided with a significance level set at p<0.05.Results:We provided an online survey to 830 adult RMD-patients and 370 healthy controls (HCs). Overall, 626 RMD-patients and 345 HCs completed the survey. Patients with RMDs were less willing to receive a COVID-19 vaccination compared to HCs (Odds Ratio (OR) 0.24, 95% CI 0.17 – 0.34, p<0.0001) despite they perceived themselves as at higher risk both to get infected (OR 11.3, 95% CI 8 – 15.9, p<0.0001) and develop a severe COVID-19 (OR 11.06, 95% CI 7.8 – 15.6, p<0.0001) and even if they had been vaccinated for influenza and pneumococcus more frequently than controls (OR 1.60 95% CI 1.18 – 2.16, p=0.002; OR 2.23, 95% CI 1.34 – 3.73, p=0.002). However, our results reveal that RMD-patients are more willing to change their minds if properly informed by the rheumatologist (OR 3.08, 95% CI 2.19 – 4.34, p<0.0001) in comparison to controls.Conclusion:The results of our study indicate for the first time that patients with RMDs are less willing to receive COVID-19 vaccination compared to the general population, despite perceiving themselves as at higher risk of getting infected with SARS-CoV-2 and develop severe COVID-19. However, our data underscored a meaningful aspect: patients with RMDs may change their attitude to COVID-19 vaccination if properly informed about risks and benefits by their trusted specialist.The results of this study encourage the entire rheumatologist community to become more committed to patient education, increasing their willingness to COVID-19 vaccine, which is the most promising strategy to protect them from the virus.References:1]Favalli EG et al. Arthritis Rheumatol, 2020[2]Fredi M, et al. Lancet Rheumatol, 2020.[3]Giardina F et al. Rheumatol Int 2021.[4]Pellegrino G et al. Clin Rheumatol 2020.[5]Frederiksen LSF, et al. Front Immunol, 2020.[6]La Vecchia C et al. Med Lav 2020.[7]Qiao S, et al. medRxiv 2020.Disclosure of Interests:None declared

ANALISIS HUBUNGAN SARANA, PENGETAHUAN, DAN SIKAP BIDAN PRAKTIK MANDIRI DENGAN KEPATUHAN MENJALANKAN STANDAR PELAYANAN ANTENATAL CARE DI KOTA PADANGSIDIMPUAN

2019 ◽  
Vol 2 (1) ◽  
pp. 27-33
Author(s):  
Megawati Sinambela ◽  
Evi Erianty Hasibuan
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Antenatal Care ◽  
Pregnant Women ◽  
Logistic Regression Analysis ◽  
Care Service ◽  
Multivariate Logistic Regression Analysis ◽  
Bivariate Analysis ◽  
Cross Sectional ◽  
The North

Antenatal care is a service provided to pregnant women to monitor, support maternal health and detect mothers whether normal or problematic pregnant women. According to the WHO, globally more than 70% of maternal deaths are caused by complications of pregnancy and childbirth such as hemorrhage, hypertension, sepsis, and abortion. Based on data obtained from the profile of the North Sumatra provincial health office in 2017, in the city of Padangsidimpuan in 2017 the coverage of ANC visits reached (76.58%) and had not reached the target in accordance with the 2017 Provincial Health Office strategy plan (95%). This type of research was an observational analytic study with a cross sectional design. The population in this study were independent practice midwives who were in the Padangsidimpuan, the sample in this study amounted to 102 respondents. The technique of collecting data used questionnaires and data analysis used univariate, bivariate and multivariate analysis with logistic regression analysis. Based on bivariate analysis showed that there was a relationship between facilities, knowledge and attitudes of independent midwives with compliance with the standards of antenatal care services with a value of p <0.05. The results of the study with multivariate logistic regression analysis showed that the factors associated with the compliance of independent midwives in carrying out antenatal care service standards were attitudes with values (p = 0.026).

scholarly journals Prediction of successful de-cannulation of tracheostomised patients in medical intensive care units

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Chul Park ◽  
Ryoung-Eun Ko ◽  
Jinhee Jung ◽  
Soo Jin Na ◽  
Kyeongman Jeon
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Goodness Of Fit ◽  
Characteristic Curve ◽  
Multivariable Logistic Regression Analysis ◽  
Limited Data ◽  
Underlying Malignancy ◽  
Medical Intensive Care ◽  
Good Calibration

Abstract Background Limited data are available on practical predictors of successful de-cannulation among the patients who undergo tracheostomies. We evaluated factors associated with failed de-cannulations to develop a prediction model that could be easily be used at the time of weaning from MV. Methods In a retrospective cohort of 346 tracheostomised patients managed by a standardized de-cannulation program, multivariable logistic regression analysis identified variables that were independently associated with failed de-cannulation. Based on the logistic regression analysis, the new predictive scoring system for successful de-cannulation, referred to as the DECAN score, was developed and then internally validated. Results The model included age > 67 years, body mass index < 22 kg/m2, underlying malignancy, non-respiratory causes of mechanical ventilation (MV), presence of neurologic disease, vasopressor requirement, and presence of post-tracheostomy pneumonia, presence of delirium. The DECAN score was associated with good calibration (goodness-of-fit, 0.6477) and discrimination outcomes (area under the receiver operating characteristic curve 0.890, 95% CI 0.853–0.921). The optimal cut-off point for the DECAN score for the prediction of the successful de-cannulation was ≤ 5 points, and was associated with the specificities of 84.6% (95% CI 77.7–90.0) and sensitivities of 80.2% (95% CI 73.9–85.5). Conclusions The DECAN score for tracheostomised patients who are successfully weaned from prolonged MV can be computed at the time of weaning to assess the probability of de-cannulation based on readily available variables.

scholarly journals Patient characteristics of smokers undergoing lumbar spine surgery: an analysis from the Quality Outcomes Database

2017 ◽  
Vol 27 (6) ◽  
pp. 661-669 ◽  
Author(s):  
Anthony L. Asher ◽  
Clinton J. Devin ◽  
Brandon McCutcheon ◽  
Silky Chotai ◽  
Kristin R. Archer ◽  
...  
Keyword(s):  
Risk Factors ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Lumbar Spine ◽  
Smoking Status ◽  
Patient Characteristics ◽  
Lumbar Spine Surgery ◽  
Multivariable Logistic Regression Analysis ◽  
Insurance Status ◽  
Quality Outcomes

OBJECTIVEIn this analysis the authors compare the characteristics of smokers to nonsmokers using demographic, socioeconomic, and comorbidity variables. They also investigate which of these characteristics are most strongly associated with smoking status. Finally, the authors investigate whether the association between known patient risk factors and disability outcome is differentially modified by patient smoking status for those who have undergone surgery for lumbar degeneration.METHODSA total of 7547 patients undergoing degenerative lumbar surgery were entered into a prospective multicenter registry (Quality Outcomes Database [QOD]). A retrospective analysis of the prospectively collected data was conducted. Patients were dichotomized as smokers (current smokers) and nonsmokers. Multivariable logistic regression analysis fitted for patient smoking status and subsequent measurement of variable importance was performed to identify the strongest patient characteristics associated with smoking status. Multivariable linear regression models fitted for 12-month Oswestry Disability Index (ODI) scores in subsets of smokers and nonsmokers was performed to investigate whether differential effects of risk factors by smoking status might be present.RESULTSIn total, 18% (n = 1365) of patients were smokers and 82% (n = 6182) were nonsmokers. In a multivariable logistic regression analysis, the factors significantly associated with patients’ smoking status were sex (p < 0.0001), age (p < 0.0001), body mass index (p < 0.0001), educational status (p < 0.0001), insurance status (p < 0.001), and employment/occupation (p = 0.0024). Patients with diabetes had lowers odds of being a smoker (p = 0.0008), while patients with coronary artery disease had greater odds of being a smoker (p = 0.044). Patients’ propensity for smoking was also significantly associated with higher American Society of Anesthesiologists (ASA) class (p < 0.0001), anterior-alone surgical approach (p = 0.018), greater number of levels (p = 0.0246), decompression only (p = 0.0001), and higher baseline ODI score (p < 0.0001). In a multivariable proportional odds logistic regression model, the adjusted odds ratio of risk factors and direction of improvement in 12-month ODI scores remained similar between the subsets of smokers and nonsmokers.CONCLUSIONSUsing a large, national, multiinstitutional registry, the authors described the profile of patients who undergo lumbar spine surgery and its association with their smoking status. Compared with nonsmokers, smokers were younger, male, nondiabetic, nonobese patients presenting with leg pain more so than back pain, with higher ASA classes, higher disability, less education, more likely to be unemployed, and with Medicaid/uninsured insurance status. Smoking status did not affect the association between these risk factors and 12-month ODI outcome, suggesting that interventions for modifiable risk factors are equally efficacious between smokers and nonsmokers.

scholarly journals Factors Affecting Palm Farmers’ Decisions to Dispense Plantage-Product Zakat in Labuhanbatu Selatan Regency

2018 ◽  
Vol 3 (3) ◽  
pp. 13-24
Author(s):  
Amalia Agustin Syn ◽  
Khalifah Muhammad Ali ◽  
Didin Hafidhuddin
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Fresh Fruit ◽  
Factors Affecting ◽  
Fresh Fruit Bunches ◽  
The Many

Zakat is one of the five points in rukun Islam and consists of two types: zakat nafs (soul) and zakat maal (wealth). One of the many kinds of zakat maal is plantage-product zakat. Labuhanbatu Selatan Regency is an area that contains 160,785.04 hectares of palm plantation land as recorded in 2016. The area also produced 7,493,696.18 tons of Fresh Fruit Bunches (FFB) in the same year. The objective of this study is to identify the potential of plantage-product zakat (specifically palm plantage) and analyze the factors that affect farmers’ decision to dispense plantage-product zakat in Labuhanbatu Selatan Regency. Logistic regression analysis was the method of analysis used in this study. Based on data obtained from Dinas Perkebunan Provinsi Sumatera Utara 2016, the potential of plantage-product zakat in Labuhanbatu Selatan Regency reached 25.6 billion rupiahs in 2014; 21.6 billion rupiahs in 2015, and 370.4 billion rupiahs in 2016. The variables that significantly affected farmers’ decisions to dispense plantage-product zakat were comprehension of zakat, faith, rewards, Islamic study, and frequency of worship.

scholarly journals Factors affecting internet use among university students in Sarawak, Malaysia: an empirical study

2020 ◽  
Vol 7 (3) ◽  
pp. 848
Author(s):  
M. Mizanur Rahman ◽  
M. Taha Arif ◽  
Fready Luke ◽  
Santha Letchumi ◽  
Fatin Nabila ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
University Students ◽  
Logistic Regression Analysis ◽  
Internet Use ◽  
Binary Logistic Regression ◽  
Problematic Internet Use ◽  
The Internet ◽  
Binary Logistic Regression Analysis ◽  
Factors Affecting

Background: The internet has become an indispensable tool for communication, academic research, information and entertainment. However, heavy users of the internet lead to less confidence in social skills and the tendency to be isolated. The study aimed to assess the pattern of internet use and factors affecting problematic internet use among university students.Methods: This cross-sectional study conducted among the students of a university in Sarawak, Malaysia. A multistage cluster sampling technique was adapted to select the participants. Data were collected from 463 students by self-administered questionnaire. Hierarchical binary logistic regression analysis was done to determine the potential factors for problematic internet use.Results: The mean age of the students was 22 years, with a standard deviation of 1.6 years. Two-fifths (61.8%) of the students had no problematic internet use. However, 35.4% had moderate and 2.8% had severe problematic internet use. Hierarchical binary logistic regression analysis found that age of the students, year of study, duration of daily internet use and use of social networking like Skype appeared to be potential predictors of problematic internet use (p<0.05).Conclusions: This study was conducted in only one university, thus did not depict the overall scenarios of the country. The implications of the findings are still worth noting in the process of designing internet addiction studies among university students. Overall, this study has unearthed some useful insights which can serve as a guide to more elaborate studies.

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