scholarly journals Socio-structural and behavioral risk factors associated with trafficked history of female bar/spa entertainers in the sex trade in the Philippines

2015 ◽  
Vol 132 (1) ◽  
pp. 55-59 ◽  
Author(s):  
Lianne A. Urada ◽  
Sonja Halterman ◽  
Anita Raj ◽  
Kiyomi Tsuyuki ◽  
Nymia Pimentel-Simbulan ◽  
...  
Keyword(s):  
Risk Factors ◽  
The Philippines ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Sex Trade ◽  
Factors Associated ◽  
History Of

scholarly journals Prevalence of Physiological, Pathological and Behavioral Risk Factors in Patients Treated with Antidiabetic Sulfonylureas

2015 ◽  
Vol 61 (4) ◽  
pp. 342-344
Author(s):  
Confederat Luminita ◽  
Stefan Roxana ◽  
Constantin Sandra ◽  
Hăncianu Monica ◽  
Profire Lenuta
Keyword(s):  
Risk Factors ◽  
Medical Center ◽  
Public Health Problem ◽  
Diabetic Patients ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Important Public Health Problem ◽  
Obesity Class ◽  
Factors Associated ◽  
High Prevalence

AbstractDiabetes mellitus is an important public health problem because of its increased incidence and its devastating complications. In addition to this, it was observed an increase in prevalence for diabetes risk factors. The aim of this study was to evaluate the frequency of the pathophysiological and behavioral risk factors among patients treated with oral hypoglycemic sulfonylureas.Material and methods: It were analyzed the observation sheets of 200 patients ambulatory treated at the “Providența” Medical Center.Results and discussions: Most of the patients were aged over 65 years, being 48.5% women and 51.5% men. The obesity was the most frequent (88%) risk factor in patients; the majority of them were included in the “overweight” and “first- degree obesity” class (72%). Regarding associated comorbidities, hypertension was found in 77% of cases, followed by dyslipidemia. In terms of physiological and behavioral aspects, age and alcohol consumption were predominant.Conclusions: A significant percentage of diabetic patients treated with hypoglycemic sulfonylureas present a high prevalence of the risk factors and even two or three factors associated.

scholarly journals Socio-demographic and behavioral risk factors associated with the high prevalence of overweight and obesity in portuguese children

2013 ◽  
Vol 25 (6) ◽  
pp. 733-742 ◽  
Author(s):  
Daniel D. Bingham ◽  
Maria I. Varela-Silva ◽  
Maria M. Ferrão ◽  
Gama Augusta ◽  
Maria I. Mourão ◽  
...  
Keyword(s):  
Risk Factors ◽  
Overweight And Obesity ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Factors Associated ◽  
High Prevalence

scholarly journals The Prevalence of Behavioral Risk Factors in People with HIV/AIDS and Its Effect on Adherence to Treatment

2020 ◽  
Author(s):  
Moslem Soofi ◽  
atefeh moradi ◽  
Ebrahim Shakiba ◽  
Mehdi Moradinazar
Keyword(s):  
Risk Factors ◽  
Risk Groups ◽  
Antiretroviral Drugs ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Adherence To Treatment ◽  
Adherence To Medication ◽  
Confounding Variables ◽  
History Of ◽  
Hiv Aids

Abstract Background: Behavioral risk factors, in addition to increasing the risk of HIV/AIDS transmission, can affect the antiretroviral therapy (ART) pattern of people with the condition. The aim of this study was to determine the prevalence of behavioral risk factors and its effect on adherence to antiretroviral drugs (ARV) treatment in patients with HIV/AIDS in western Iran.Methods: This study was performed on all patients who were diagnosed with HIV/AIDS in Kermanshah province during the years 1995-2019 (25 years). Adherence to treatment in these patients was divided into three categories according to the WHO definition: Non-adherence, cessation and adherence to treatment. Using single-variable and multi-variable logistic regression, the effect of important variables in four models was modified and the effect of each of the behavioral risk factors was studied in patients who had non-adherence or experienced cessation compared to those who adhered to ARV.Results: Of the 2,867 patients with HIV/AIDS, 2,449 (85.42%) were men. The mean age of HIV infection was 33.36 ± 11.8 years. In 1995, less than 10 percent of people received treatment, which is 2019 it reached to more than 67 percent. All behavioral risk factors increased the non-adherence to medication and cessation of ARV. In general, after controlling confounding variables except needle sharing, all behavioral variables affected ARV treatment; The greatest impact on non-adherence to medication was History of drug abuse, History of the prison, History of injection drug use and Sex with non-spouse with a chance of 10.87 (7.21-16.39), 3.94 (2.84-5.46), 3.86 (2.47-6.03) and 3.38(2.19-5.23) times more than patients without these risk factors, respectively.Conclusion: Although the process of receiving treatment has been increasing since 2005, the non-adherence to medication is still high in high-risk groups, so it is important to focus more on reducing non-adherence and eventually cessation of treatment. In particular, more focus is necessary for health education and raising the level of awareness of these groups.

scholarly journals Socio-Behavioral Risk Factors Associated with Cryptosporidiosis in HIV/AIDS Patients Visiting the HIV Referral Clinic at Cape Coast Teaching Hospital, Ghana

2018 ◽  
Vol 12 (1) ◽  
pp. 106-116
Author(s):  
Yeboah K. Opoku ◽  
Johnson N. Boampong ◽  
Irene Ayi ◽  
Godwin Kwakye-Nuako ◽  
Dorcas Obiri-Yeboah ◽  
...  
Keyword(s):  
Risk Factors ◽  
Drinking Water ◽  
Risk Factor ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Cape Coast ◽  
Aids Patients ◽  
Factors Associated ◽  
Enteric Protozoan ◽  
Hiv Aids

Objective:To identify the socio-behavioral risk factors associated with cryptosporidiosis among HIV/AIDS patients with chronic diarrhea symptoms visiting the HIV referral clinic at Cape Coast Teaching Hospital, Ghana.Methods:A cross-sectional study was conducted among 50 HIV/AIDS patients with recurrent diarrhea. Questionnaires were administered to collect social and behavioral risk factors associated withCryptosporidiumand other opportunistic protozoan parasitic infections in HIV patients. Stool samples were collected for the diagnosis of enteric protozoan pathogens using modified Ziehl-Neelsen and acid-fast staining methods. CD4+cells counts of study subjects were obtained from patients clinical records. The data obtained were analyzed using Pearson chi-square and multivariate-adjusted statistics tool on SPSS 16 for Windows.Results:Twenty-seven (54%) of the subjects were infected with enteric protozoan pathogens. The prevalences ofCryptosporidium,CyclosporaandMicrosporidiuminfections were 46%, 32% and 16%, respectively.Cryptosporidiuminfection was significantly associated with drinking water (×2=13.528, p<0.001),Cyclosporawas associated with the type of drinking water (×2=14.931, p<0.001) and toilet facilities used by the study subjects (×2=12.463, p<0.01), whilesMicrosporidiuminfection was associated with hand washing behavior (×2=12.463, p<0.01). Enteric protozoans were frequently encountered among subjects with CD4+ T-cell count <200 cells/mm3. However, coinfection ofCyclospora spp&Cryptosporidiumspp was not observed in CD4+cell count <200 and >500 cells/mm3.Multivariate analysis showed that the risk factor forCryptosporidiuminfection among HIV/AIDS patients was the source of drinking water (pipe borne water 76.2% prevalence: sachet water 25%; OR=0.10, 95%CI: 0.03-0.39, p<0.001).Conclusion:We report the risk factor for exposure ofCryptosporidiuminfection among HIV/AIDS patients for the first time in Ghana. The contamination of drinking water by protozoan parasites should be a public health concern. These results provide the stepping block to understand the transmission dynamics ofCryptosporidiumand other opportunistic pathogens in HIV/AIDS infected patients in Ghana.

scholarly journals Are Young Children’s Emotional and Behavioral Risk Factors Associated with Household Firearm Ownership and Storage?

2020 ◽  
Vol 9 (3) ◽  
Author(s):  
Adriana D. Cimetta ◽  
Michael L. Sulkowski ◽  
Christina A. Cutshaw ◽  
David B. Yaden ◽  
Ronald W. Marx
Keyword(s):  
Risk Factors ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Factors Associated ◽  
And Storage
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