scholarly journals Description Analysis of Human Behavior that Causes the Emergence of HIV/AIDS Infectious Diseases in Surabaya

2010 ◽  
Vol 1 (2) ◽  
pp. 93
Author(s):  
Yayuk Susilawati ◽  
Nasronudin Nasronudin ◽  
Atika Atika
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Human Behavior ◽  
Clinical Symptoms ◽  
Perinatal Period ◽  
Sexual Contact ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
And Bisexual ◽  
Hiv Aids

HIV virus is transmitted to other individuals particularly through sexual contact with infected individuals, narcotic abuse using shared infected needle, maternal-fetal transmission in perinatal period, either during pregnancy, labor, and breastfeeding, or through infected blood donor. The diagnosis of HIV/AIDS infection is established using laboratory examination with the indication of clinical symptoms or high risk behavior. This descriptive study was intended to describe human behaviors that cause the occurrence of HIV/AIDS in Surabaya. To find the description of the disease, the percentage of total HIV/AIDS patients according to behavioral risk factors was estimated. Total patients in 9 hospitals at each risk factor were divided with total patients in those hospital, multiplied with 100. The description of the disease according to behavioral risk factors in Surabaya is as follows: total patients between January and December 2005 was 382 individuals; 204 due to sexual contact (53.40%), 161 due to injected drug use (IDU) (42.15%), 6 perinatal cases (1.57%) and 11 with unknown causes (2.88%). From risk factor sexual relationship behavior as many as 204 people, respectively heterosexual 174 people (85.29%), homosexual 17 people (8.33%) and bisexual 13 people (6.37%). Further analytical studies are needed to analyze correlation between human behavior and the occurrence of HIV/AIDS in Surabaya.

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.

REPRINT OF: The Behavioral Risk Factor Surveys: I. State-Specific Prevalence Estimates of Behavioral Risk Factors

2020 ◽  
Vol 59 (6) ◽  
pp. 779-786
Author(s):  
James S. Marks ◽  
Gary C. Hogelin ◽  
Eileen M. Gentry ◽  
Jack T. Jones ◽  
Karen L. Gaines ◽  
...  
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Behavioral Risk Factor ◽  
Prevalence Estimates

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.

Alcohol consumption: The single most important behavioral risk factor in breast cancer?

2011 ◽  
Vol 29 (27_suppl) ◽  
pp. 176-176
Author(s):  
T. Lautenschlaeger ◽  
V. Dedousi-Huebner ◽  
A. Chakravarti
Keyword(s):  
Breast Cancer ◽  
Risk Factors ◽  
Risk Factor ◽  
Cancer Risk ◽  
Binge Drinking ◽  
Breast Cancer Incidence ◽  
National Average ◽  
Behavioral Risk Factors ◽  
Behavioral Risk ◽  
Behavioral Risk Factor

176 Background: Breast cancer research has identified certain risk factors over the years, which influence a woman's chance of getting the disease. While factors such as personal history of breast abnormalities, age and the occurrence of breast cancer among first-degree relatives have been identified as estimation factors for breast cancer risk, other factors are less conclusive. Increasingly, obesity is being analyzed as a significant risk factor for many cancers and, after tobacco use, may be one of the most modifiable behavioral cancer risk factors. Interestingly when comparing the incidence rate of breast cancer to the obesity rate nationwide many states show a disparity in the two. It may be that other behavioral risk factors are of greater importance. Methods: The US States Mississippi and West Virginia display the highest rates of obesity (over 29.4% of their population display a BMI over 30.0) and the lowest rates in breast cancer incidence nationwide (under 113.9 and 113.5 people per 100.00. residents are diagnosed with cancer each year respectively). We set out to look at various behavioral risk factors to possibly detect an underlying pattern for breast cancer. Using selected metropolitan/micropolitan area risk trend data from the Behavioral Risk Factor Surveillance System from the CDC, we compared median percentages of the following risk factors: health status, exercise, diabetes, flu vaccination, current smoking, binge drinking and obesity. Results: Both states displayed higher percentages in all risk factors compared to the national average except for one in which they were below the national average: binge drinking. Rhode Island and Connecticut, the two states with the highest incidence rates in breast cancer, in turn displayed slightly higher rates of binge drinking compared to the national average. Conclusions: It appears that binge drinking might weigh more than other behavioral factors in terms of risk associated to breast cancer. Future research will need to analyze the interplay and patterns of the various risk factors as well as evaluate the association of mammographic density and alcohol drinking to further investigate the role of alcohol and binge drinking in the development of breast cancer.

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