Measuring hope amongst Tanzanian women who participate in microfinance: An evaluation of the Snyder hope scale

ABSTRACT

Measuring hope reliably and accurately remains an important research objective, not least in less prosperous settings where ‘holding on to hope’ may be critically important in the struggle against adverse life conditions. The State Hope Scale was designed for use in the US. Despite reported application in diverse cultures and using translations the scale has not been extensively validated outside US populations. This study contributes to a larger project exploring the measurement of hope and provides a critique of Snyder’s scale as used in a Tanzanian female population of 1021 urban microfinance participants. We evaluate the scale’s validity through assessment of the empirical distribution of scores, item response profiles, internal consistency and discriminatory ability. Participants mostly scored very high and many reached very near the maximum attainable score. Hardly any endorsed the negative half of the response scale. Several problems are discussed including poor discrimination and strong evidence of acquiescence response bias. We also found little association of the scale scores with hypothesised correlates of hope. Future improvements on the measurement of hope are recommended, especially in studies outside the narrow Western context in which the scale was devised.     

Manganese is associated with increased plasma interleukin-1β during pregnancy,within a mixtures analysis framework of urinary trace metals

Exposure to trace metals may impact reproductive health outcomes through perturbations in maternal immune signaling molecules. We conducted a cross-sectional study of 390 pregnant women from the LIFECODES birth cohort and investigated the associations between 17 urinary metals and five immune biomarkers measured in the 3rd trimester (median 26 weeks gestation). We used linear regression to estimate pair-wise associations and applied elastic net and Bayesian kernel machine regression to identify important contributing exposures analytes as well as non-linear effects. Maternal urinary manganese, nickel, and barium were positively associated with maternal plasma interleukin-1β (IL-1β). Elastic net and Bayesian kernel machine regression identified manganese as the dominant trace metal in association with IL-1β. An interquartile range difference in manganese (0.6 μg/L) was associated with a 29 % increase in IL-1β (95 % CI: 12.4–48.2). In conclusion, trace metal exposures were associated with biomarkers of immune perturbations, and this warrants further investigation.     

The Health Belief Model in predicting healthcare workers' intention for influenza vaccine uptake in Jordan

BackgroundTheories of health behavior change are being inadequately adopted to understand the reasons behind low influenza vaccination rates among healthcare workers (HCWs). The Theory of Planned Behavior (TPB) is being used to predict intention-behavior relationship while the Health Belief Model (HBM) is being employed to predict actual behavior. The purpose of this study was to test a conceptual model based on the HBM’s constructs to predict Jordanian HCWs’ intentions for influenza vaccine uptake as an alternative to the TPB.MethodA cross-sectional questionnaire-based study was conducted in 2016 in a tertiary teaching hospital in Amman-Jordan including a convenience sample of 477 HCWs with direct patient contact. The study instrument was tested for validity and reliability. A conceptual regression model was proposed incorporating the constructs of the primary HBM with some modifications in the threat construct as well as an additional variable about explicit past vaccination behavior (in the past year and/or any previous history of influenza vaccine uptake).ResultsAlmost all the constructs of the HBM demonstrated significant differences between participants intending and those who did not intend to vaccinate against influenza. After adjusting for the confounding variables in the final conceptual regression model, past vaccination behavior (OR= 4.50, 95%Confidence Interval 3.38–6.00, P< 0.0005) and the perceived benefit scale (OR= 1.19, 95% Confidence Interval 1.11–1.28, P< 0.0005) were the only significant predictors of intentions to vaccinate against influenza in the next season.ConclusionTaking into consideration the altruistic beliefs of HCWs and their explicit past vaccination history augments the utility of the original HBM tool in predicting HCWs’ intentions to vaccinate against influenza in a way that is consistent with the predictive ability of the Theory of Planned Behavior.     

Effects of synthetic and biological disease modifying antirheumatic drugs on lipid and lipoprotein parameters in patients with rheumatoid arthritis

BackgroundDyslipidemia in rheumatoid arthritis (RA) patients is frequently observed, and treatment with anti-rheumatic drugs has an impact on lipid profiles. Pathophysiologically, inflammation leads to decreased blood lipids and lipoproteins; RA treatment reduces inflammation and therefore may increase lipids and lipoproteins. Whether the lipid changes with RA treatment confer an increased risk of cardiovascular disease or just reflect their potentially atheroprotective anti-inflammatory effect is currently unclear due to limited and conflicting data.ObjectiveThe aim of this review is to summarize the current knowledge on the effects of synthetic and biological disease modifying antirheumatic drugs for the treatment of RA on lipid and lipoprotein parameters.ResultsRecent studies on methotrexate emphasize its anti-atherogenic effect. Golimumab combined with methotrexate revealed a trend towards an anti-atherogenic potential. The known pro-atherogenic lipid-spectrum alterations caused by tofacitinib can be effectively treated with atorvastatin. Tocilizumab signals a favorable impact on the extent of lipid modifications when combined with methotrexate. Abatacept indicated a trend towards an anti-atherogenic lipid profile demonstrated by favorable effects on HDL-C and on the TC/HDL-C ratio. Rituximab has beneficial effects on HDL-C and ApoA1, as well as on the ApoB/ApoA1 ratio.Clinical implicationsAnti-rheumatic drugs have various effects on lipid parameters, which in part appear pro-atherogenic. However, because many of these lipid changes may well reflect their potentially atheroprotective anti-inflammatory action the cardiovascular impact of these changes remains unclear. Whatsoever, cardiovascular safety trials for antirheumatic drugs would be valuable.     

Association of influenza vaccine uptake with health,access to health care,and medical mistreatment among adults from low-income neighborhoods in New Haven,CT: A classification tree analysis

ObjectiveThe aim of this study is to identify population subgroups under-vaccinated for influenza through classification tree analysis to inform interventions aimed at improving future vaccine uptake.MethodA cross-sectional community health needs assessment was conducted from 09/2012 through 11/2012 among randomly selected households in six low-income neighborhoods in New Haven, CT (N = 1300 adults, aged 18–65). Known correlates of influenza vaccine uptake plus experience of medical mistreatment were used to develop a classification tree to identify under-vaccinated population subgroupsResultsForty-five percent of respondents reported receiving the influenza vaccine. The classification tree identified healthy adults and uninsured adults at increased risk of influenza complications as subgroups with low vaccine uptake (40% and 30%, respectively). The subgroup representing insured, high-risk adults who reported experience of medical mistreatment had moderate vaccine uptake (45%). Sensitivity of the classification tree was high (83%, 95% CI = 80% to 86%), indicating a strong true positive rate using these subgroups.ConclusionResults highlight the need for renewed attention to promoting the influenza vaccination recommendation for all adults, particularly among healthy adults, uninsured, high-risk adults and insured, high-risk adults who have experienced medical mistreatment. Further research is needed to better understand how to reach these population subgroups.     

Long-Term Outcome and Economic Burden of Aneurysmal Subarachnoid Hemorrhage: Are we Only Seeing the Tip of the Iceberg?

Neurocritical Care -     

Risk Factors Associated With New-Onset Diabetes After Liver Transplant: A Case Control Study

BackgroundNew-onset diabetes after transplant is a severe complication that can present in liver transplant recipients, negatively impacting quality of life and graft survival. It also contributes to increased risk of infection, cardiovascular disease, and rejection, which are the main causes of death among liver transplant recipients. The aim of the present study was to assess the risk factors associated with new-onset diabetes after transplant.MethodThis was a case control study based on the data from 146 liver transplant patients at a reference hospital. The data from the charts were collected using a 2-part form: Part I (sociodemographic variables) and Part II (clinical variables).ResultsMultiple analysis showed that pre-existing systemic arterial hypertension (odds ratio [OR], 2.65; 95% CI, 1.12–6.28) and the use of sodium mycophenolate associated with tacrolimus (OR, 2.68; 95% CI, 1.02–7.06) increased the risk of new-onset diabetes after transplant. On comparing the anthropometric variables, lipid panel, and blood glucose levels of liver transplant patients with and without diabetes, higher glycemic levels were found in the group with diabetes (P < .001).ConclusionPre-existing systemic arterial hypertension and the associated use of sodium mycophenolate and tacrolimus increased the risk of new-onset diabetes after transplant.