SOME FACTORS ASSOCIATED WITH CONDOM USE AMONG BAR MAIDS IN TANZANIA

2009 ◽  
Vol 41 (1) ◽  
pp. 125-137 ◽  
Author(s):  
ROCKY R. J. AKARRO

SummarySome socioeconomic and demographic factors contributing to the use of condoms among bar maids were studied in selected urban areas in Tanzania. Bar maids were classified according to whether or not they use condoms, and logistic regression was used in the analysis. Of the demographic variables studied, age, marital status, education level, use of alcohol and wage rate showed a significant relationship at the 1% level between individual factors and use of condoms. The odds ratios show that girls aged 10–14 are over 18,000 times more likely not to use condoms compared with women aged 30 and above. Those who drink are 6·6 times (1/0·165) less likely to use condoms compared with those who do not drink. In other words, alcohol consumption can be a stimulus for an individual not to use condoms. It is clear that young girls who drink are at the highest risk of contracting HIV/AIDS in comparison with older females. A multiple logistic regression model shows all the aforementioned factors to be significant at the 1% level. A policy recommendation is made that the government should impose restrictions as far as employment of bar maids is concerned.

2018 ◽  
Vol 16 (4) ◽  
pp. 296-306
Author(s):  
Justin T McDaniel ◽  
Robert J McDermott ◽  
Mary P Martinasek ◽  
Robin M White

Objective We sought to determine variables associated with asthma among children from military and non-military families. Methods We performed secondary data analysis on the 2016 Behavioral Risk Factor Surveillance System. Parents with and without military experience ( n = 61,079) were asked whether a child ever had asthma and currently has asthma. We used two multiple logistic regression models to determine the influence of rurality and geographic region on “ever” and “current” asthma in children of military and non-military families, while controlling for socio-demographic and behavioral variables. Results Overall childhood asthma prevalence for children in military families was lower than non-military families (ever, 9.7% vs. 12.9%; currently, 6.2% vs. 8.2%) in 2016. However, multiple logistic regression showed variation in “ever” and “current” asthma among children of military and non-military families by rurality and race. Discussion Developers of public health asthma interventions should consider targeting African-American children of military families living in urban areas. This population is approximately twice as likely to have asthma as Caucasian children of non-military families.


2020 ◽  
Vol 27 (5) ◽  
pp. 130-140
Author(s):  
Asraf Ahmad Qamruddin ◽  
Reza Qamruddin ◽  
Ayu Malik

Objectives: To determine the incidence rate of measles and the factors associated with confirmed measles cases in Larut, Matang and Selama districts. Methods: Cross-sectional analysis was carried out looking at all suspected and laboratoryconfirmed measles cases in Larut, Matang and Selama districts between 2015 and 2019. Multiple logistic regression analysis was used to determine the associated factors for laboratory-confirmed measles cases. Results: The incidence rate for suspected measles showed an increasing trend from 2015–2019. For laboratory-confirmed measles cases, the incidence rate showed more variation with an increase to 36.11 per million population in 2017 from 5.67 per million population in 2015. The incidence rate later decreased to 10.99 per million population in 2018 and increased again to 24.47 per million population in 2019. From multiple logistic regression analysis, cases that fulfilled the case definition of measles were more likely to be laboratory-confirmed measles. On the other hand, a prior history of measles immunisation was a protective factor. Conclusion: Measles incidence is increasing in trend. Any suspected measles cases that fulfilled the clinical case definitions need to be further investigated. Immunisation should be promoted as they are effective in preventing and eliminating measles.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 5419-5419
Author(s):  
Haiyan Yang ◽  
Yuqin Song ◽  
Huilai Zhang ◽  
Aichun Liu ◽  
Xinan Cen ◽  
...  

Abstract Introduction: Rituximab is a chimeric monoclonal antibody against the protein CD20 and has been wildly used in the treatment of CD20-positive, B-cell Non-Hodgkin's Lymphoma (NHL). Many studies have demonstrated the effect and safety of Rituximab both in China and international. However, the pattern of real-world Rituximab use in China still remains unclear, although the country is trying very hard to lower the barrier of anti-cancer drug access. In this study, we reported the pattern of Rituximab use during initial treatment and factors associated with Rituximab use among B-cell NHL patients in China Lymphoma Patient Registry (CLAP) study (NCT03313271). Method: CLAP is a multi-center observational bi-directional cohort study based on medical records of hospitalized lymphoma patients and was launched in early 2017 in five hospitals. Medical records of the eligible patients in participating hospitals were systematically reviewed and study data were manually entered or directly transferred into a predesigned electronic database with the support of Medbanks Network Technology Co., Ltd. Its inclusion criteria include: 1) newly diagnosed as lymphoma in participating hospitals; 2) age >=18 yrs old at time of disease diagnosed; 3) given informed consent if prospective follow-up is needed. In order to be eligible for this particular report, three additional criteria were applied: 1) diagnosis was made after July 2015; 2) with clear diagnosis of one of B-cell NHL subtypes, including diffuse large B-cell lymphoma (DLBCL), follicular lymphoma (FL), small lymphocytic lymphoma/chronic lymphocytic leukemia (SLL/CLL), mantle cell lymphoma (MCL) and marginal zone lymphoma (MZL); 3) with recorded initial treatment. Frequency analysis was used to describe the distribution of patient demographics and disease characteristics, stratified by if Rituximab was used. Rituximab use was defined as YES if at least one prescription was made regardless of number of cycles and duration of treatment. Percentage of Rituximab use was also reported by histology subtypes and first prescription time (every 6 months). Multiple logistic regression was used to explore factors associated with Rituximab use during initial treatment. Result: A total of 1634 study subjects were included in this analysis and 1258 of them were treated with Rituximab contained regimen. Among all study subjects, male was slightly more than female (52.4% vs 47.6%) and 85.7% of them were older than 40 yrs. Majority of study subjects (84.9)% had a ECOG score between 0-1 at time of disease diagnosis. The distribution of demographic and disease characteristics was similar between the two groups (Table1). Among the five subtypes, patients with FL had the highest rate of Rituximab use (80.8%), followed by DLBCL (77.2%), MZL (74.3%), MCL (73.3%) and CLL/SLL (57.1%) (Figure1). Using every 6 months as a time period, Rituximab use rate between July 2015 and March 2018 was 71.8%, 77.9%, 70.6%, 78.8%, 87.9% and 93.8% , p-value for trend test was 0.0002(figure2). In multiple logistic regression, CLL/SLL was associated with less Rituximab use comparing with DLBCL (OR=0.439; 95% CI=0.228-0.846) and later time of first prescription was associated with more Rituximab use (OR=1.192; 95% CI=1.088-1.305). Conclusion Closed to 77% B-cell NHL patients received Rituximab contained regimen as their initial treatment, demonstrating the well recognition of the efficacy and safety of Rituximab among doctors in CLAP hospitals. Compared with other subtypes, patients with CLL/SLL had lower Rituximab use rate, which might be contributed to its lower CD20 express (Beum et.al, J Immunol 2006) and suboptimal clinical effect (Robak et.al, J Clin Oncol 2010). In September 2017, Rituximab was covered by the National Basic Medical Insurance and the price was also dropped. Therefore, as a proxy of payment policy improvement and lower access barrier, later time of diagnosis was associated with higher Rituximab use rate. Although not statistical significant, patients with poorer health status (ECOG>=2) was more likely to be prescribed with Rituximab. In conclusion, NHL subtypes and economic reason are two main driven factors that influence the use of Rituximab as initial treatment in real world practice in China. Disclosures Song: Peking University Cancer Hospital (Beijing Cancer Hospital): Employment. Zhu:Beijing Cancer Hospital: Employment.


2008 ◽  
Vol 42 (1) ◽  
pp. 143-145 ◽  
Author(s):  
Rubén Daniel Ledesma ◽  
Raquel Inés Peltzer

The objective of the study was to assess the use of helmets in a community where helmet use is mandatory but low as there is no police enforcement. A sample comprising 451 motorcyclists in the city of Mar del Plata, Argentina, was studied in 2006. The following variables were studied: gender, type of motorcycle, weather conditions, time of the day, city area and type of road where motorcyclists traveled. Data were analyzed through a multiple logistic regression model. An overall 40% prevalence (95% CI: 35.5;44.5) of helmet use was found. Higher rates of helmet use were seen among women, and under unfavorable weather conditions, lower rates were found in the city outskirts, and variable use was seen according to the type of motorcycle. There is a need to improve law enforcement and to promote education of motorcyclists.


2015 ◽  
Vol 32 (1) ◽  
pp. 288 ◽  
Author(s):  
Daniel Lapresa ◽  
Javier Arana ◽  
M.Teresa Anguera ◽  
J.Ignacio Pérez-Castellanos ◽  
Mario Amatria

This study shows how simple and multiple logistic regression can be used in observational methodology and more specifically, in the fields of physical activity and sport. We demonstrate this in a study designed to determine whether three-a-side futsal or five-a-side futsal is more suited to the needs and potential of children aged 6-to-8 years. We constructed a multiple logistic regression model to analyze use of space (depth of play) and three simple logistic regression models to determine which game format is more likely to potentiate effective technical and tactical performance.


2020 ◽  
Vol 8 (7_suppl6) ◽  
pp. 2325967120S0046
Author(s):  
Jacqueline Baron ◽  
Alan Shamrock ◽  
Trevor Gulbrandsen ◽  
Brian Wolf ◽  
Kyle Duchman ◽  
...  

Objectives: The current opioid epidemic in the United States is a significant cause of increasing morbidity and mortality. The purpose of this study was to determine rate of opioid use before and after arthroscopic meniscal surgery, and assess patient factors associated with prolonged opioid use following primary arthroscopic meniscal surgery. Methods: Patients undergoing primary arthroscopic meniscal surgery procedures from 2007-2016 were retrospectively accessed from the Humana Inc. administrative claims database. Patients were categorized as patients who filled opioid prescriptions within 3 months (OU), within 1 month (A-OU), between 1 to 3 months (C-OU), and never filled opioid prescriptions (N-OU) before surgery. Rates of opioid use were evaluated preoperatively and longitudinally tracked for OU and N-OU cohorts. Prolonged opioid use was defined as continued opioid prescription filling at ≥3 months after surgery. Multiple logistic regression analysis was used to control for various patient characteristics and identify factors associated with opioid use at 12 months after surgery, with significance defined as P<0.05 Results: There were 107,717 patients (54% female) that underwent arthroscopic meniscal surgery during the study period, of which 46.1% (n=49,630) were N-OU. One year after surgery, opioid fill rate was significantly higher in the OU group compared to the N-OU group with a relative risk of 6.98 (21.1% vs 3.02%; 95% CI: 6.61-7.36; p<0.0001). Multiple logistic regression model identified C-OU (OR:10.23, 95% CI: 9.74-10.76, p<0.0001) as the strongest predictor of opioid use at 12 months postoperatively. Furthermore, patients with acute preoperative opioid use (p<0.0001), preoperative diagnosis of diabetes mellitus (p<0.0001), hypertension (p<0.0001), chronic obstructive pulmonary disease (p<0.0001), anxiety or depression (p<0.0001), alcohol abuse (p= 0.0019), and tobacco use (p=0.0345) had a significantly increased odds of opioid use at 12 months postoperatively. However, males (p<0.0001) and patients <40 years (p<0.0001) had a significantly decreased odds of opioid use 12 months postoperatively. Conclusion: Preoperative opioid use is a significant risk factor for opioid use at 12 months following surgery. Diabetes mellitus, hypertension, chronic obstructive pulmonary disease, smoking status, and psychiatric diagnosis were independent risk factors for opioid use 1-year following surgery.


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