Gender differences in life circumstances, monthly income, risky sexual and drug behaviors among injection drug users in Dar es Salaam, Tanzania

This study investigated the gender difference between male and female injection drug users’ (IDUs) life circumstances, income and risky sexual and drug behaviors. The study sample comprised of 318 male and 249 female injection drug users in Dar es Salaam, Tanzania. There were gender differences between male and female IDUs in terms of life circumstances and sexual behaviors. There were no differences in the drug behaviors among the two sexes. Women were more likely to be 21-25 years of age, have had more sexual partners in the last 30 days, traded sex for money, and have been sexually abused as a child. On the other hand, the males were more likely to be 26-30 years of age and have never used a condom during sex in the last 30 days. Regardless of the differences in sexual risk behaviors by gender, both male and female injection drug users in Dar es Salaam are at risk of HIV/AIDS, blood borne and other sexually transmitted diseases associated with drug use.^

Factors affecting the symptom burden in chronic heart failure

Background. Heart failure (HF) is a health problem of epidemic proportions and a clinical syndrome that leads to progressively severe symptoms, which contribute significantly to the burden of the disease. Several factors may affect the symptom burden of patients with HF, including physiological, psychological, and spiritual factors. This study was designed to examine the inter-relationship of physiological, psychological, and spiritual factors affecting symptoms for patients with HF. ^ Objectives. The aims of this study were to examine symptom burden of heart failure patients related to: (1) the physiological factor of brain natriuretic peptide (BNP); (2) the psychological factor of depression; (3) the spiritual factors of self transcendence and purpose in life; and (4) combined effects of physiological, psychological and spiritual factors. One additional aim was to describe symptom intensity related to symptom burden. ^ Methods. A cross-sectional non-experimental correlational design was used to examine factors affecting symptom burden in 105 patients with HF from a southwestern medical center outpatient heart failure clinic. Both men and women were included; average age was 56.6 (SD = 16.86). All measures except BNP were obtained by patient self-report. ^ Results. The mean number of symptoms present was 8.17 (SD = 3.34) with the three most common symptoms being shortness of breath on exertion, fatigue, and weakness. The mean symptom intensity was 365.66 (SD = 199.50) on a summative scale of visual analogue reports for 13 symptoms. The mean BNP level was 292.64 pg/ml (SD = 57 1.11). The prevalence rate for depression was 43.6% with a mean score of 3.48 (SD = 2.75) on the Center for Epidemiological Studies - Depression scale (CES-D 10) scale. In a multivariate analysis, depression was the only significant predictor of symptom burden (r = .474; P < .001), accounting for 18% of the variance. Spirituality had an interaction effect with depression (P ≤ .001), serving as a moderator between depression and symptom burden. ^ Conclusion. HF is a chronic and progressive syndrome characterized by severe symptoms, hospitalizations and disability. Depression is significantly related to symptom burden and this relationship is moderated by spirituality. ^

Theory of uncertainty in illness in patients with cancer of unknown primary origin: Structure providers as antecedents of uncertainty in a population of cancer patients with an unknown primary diagnosis

Uncertainty has been found to be a major component of the cancer experience and can dramatically affect psychosocial adaptation and outcomes of a patient's disease state (McCormick, 2002). Patients with a diagnosis of Carcinoma of Unknown Primary (CUP) may experience higher levels of uncertainty due to the unpredictability of current and future symptoms, limited treatment options and an undetermined life expectancy. To date, only one study has touched upon uncertainty and its' effects on those with CUP but no information exists concerning the effects of uncertainty regarding diagnosis and treatment on the distress level and psychosocial adjustment of this population (Parker & Lenzi, 2003). ^ Mishel's Uncertainty in Illness Theory (1984) proposes that uncertainty is preceded by three variables, one of which being Structure Providers. Structure Providers include credible authority, the degree of trust and confidence the patient has with their doctor, education and social support. It was the goal of this study to examine the relationship between uncertainty and Structure Providers to support the following hypotheses: (1) There will be a negative association between credible authority and uncertainty, (2) There will be a negative association between education level and uncertainty, and (3) There will be a negative association between social support and uncertainty. ^ This cross-sectional analysis utilized data from 219 patients following their initial consultation with their oncologist. Data included the Mishel Uncertainty in Illness Scale (MUIS) which was used to determine patients' uncertainty levels, the Medical Outcomes Study-Social Support Scale (MOSS-SSS) to assess patients, levels of social support, the Patient Satisfaction Questionnaire (PSQ-18) and the Cancer Diagnostic Interview Scale (CDIS) to measure credible authority and general demographic information to assess age, education, marital status and ethnicity. ^ In this study we found that uncertainty levels were generally higher in this sample as compared to other types of cancer populations. And while our results seemed to support most of our hypothesis, we were only able to show significant associations between two. The analyses indicated that credible authority measured by both the CDIS and the PSQ was a significant predictor of uncertainty as was social support measured by the MOSS-SS. Education has shown to have an inconsistent pattern of effect in relation to uncertainty and in the current study there was not enough data to significantly support our hypothesis. ^ The results of this study generally support Mishel's Theory of Uncertainty in Illness and highlight the importance of taking into consideration patients, psychosocial factors as well as employing proper communication practices between physicians and their patients.^

The effect of life events on blood pressure and body mass index in children

In Conroe, Texas, 492 students ages 5 to 15 participated in a screening examination for cardiovascular risk factor study. Among 492 students, 141 elementary and junior high students participated in the present sub-study to investigate the effect of the number of recent life events on blood pressure and on body mass index. Using the elementary and junior high school Coddington scales, life events occurring in the past 12 months were measured for students ages 9 to 14 years, no significant differences in life events were observed by age and sex. The number of life events was not related to blood pressure but was positively correlated to body mass index in children and adolescents. ^

Estimates of life expectancy gains from reducing/eliminating major causes of death in the USA: An update analysis for population in 2001--2008

Evaluation of the impact of a disease on life expectancy is an important part of public health. Potential gains in life expectancy (PGLE) that can properly take into account the competing risks are an effective indicator for measuring the impact of the multiple causes of death. This study aimed to measure the PGLEs from reducing/eliminating the major causes of death in the USA from 2001 to 2008. To calculate the PGLEs due to the elimination of specific causes of death, the age-specific mortality rates for heart disease, malignant neoplasms, Alzheimer disease, kidney diseases and HIV/AIDS and life table constructing data were obtained from the National Center for Health Statistics, and the multiple decremental life tables were constructed. The PGLEs by elimination of heart disease, malignant neoplasms or HIV/AIDS continued decreasing from 2001 to 2008, but the PGLE by elimination of Alzheimer's disease or kidney diseases revealed increased trends. The PGLEs (by years) for all race, male, female, white, white male, white female, black, black male and black female at birth by complete elimination of heart disease 2001–2008 were 0.336–0.299, 0.327–0.301, 0.344–0.295, 0.360–0.315, 0.349–0.317, 0.371–0.316,0.278–0.251, 0.272–0.255, and 0.282–0.246 respectively. Similarly, the PGLEs (by years) for all race, male, female, white, white male, white female, black, black male and black female at birth by complete elimination of malignant neoplasms, Alzheimer's disease, kidney disease or HIV/AIDS 2001–2008 were also uncovered, respectively. Most diseases affect specific population, such as, HIV/AIDS tends to have a greater impact on people of working age, heart disease and malignant neoplasms have a greater impact on people over 65 years of age, but Alzheimer's disease and kidney diseases have a greater impact on people over 75 years of age. To measure the impact of these diseases on life expectancy in people of working age, partial multiple decremental life tables were constructed and the PGLEs were computed by partial or complete elimination of various causes of death during the working years. Thus, the results of the study outlined a picture of how each single disease could affect the life expectancy in age-, race-, or sex-specific population in USA. Therefore, the findings would not only assist to evaluate current public health improvements, but also provide useful information for future research and disease control programs.^