Perspectives on the public health implications of global climate change and the epidemiology of vector-borne disease

Global climate change is becoming an increasing concern among the public health community. Some researchers believe the earth is rapidly undergoing changes in temperature, sea level, population movement, and extreme weather phenomenon. With these geographic, meteorological, and social changes come increased threats to human health. One of these threats is the spread of vector-borne infectious diseases. The changes mentioned above are believed to contribute to increased arthropod survival, transmission, and habitation. These changes, in turn, lead to increased incidence among neighboring human populations. It is also argued that human action may play more of a role than climate change. This systematic review served to determine whether or not climate change poses a significant risk to human exposure and increased incidence of vector-borne disease. ^

Analysing Seasonal Health Data

Seasonal patterns have been found in a remarkable range of health conditions, including birth defects, respiratory infections and cardiovascular disease. Accurately estimating the size and timing of seasonal peaks in disease incidence is an aid to understanding the causes and possibly to developing interventions. With global warming increasing the intensity of seasonal weather patterns around the world, a review of the methods for estimating seasonal effects on health is timely. This is the first book on statistical methods for seasonal data written for a health audience. It describes methods for a range of outcomes (including continuous, count and binomial data) and demonstrates appropriate techniques for summarising and modelling these data. It has a practical focus and uses interesting examples to motivate and illustrate the methods. The statistical procedures and example data sets are available in an R package called ‘season’. Adrian Barnett is a senior research fellow at Queensland University of Technology, Australia. Annette Dobson is a Professor of Biostatistics at The University of Queensland, Australia. Both are experienced medical statisticians with a commitment to statistical education and have previously collaborated in research in the methodological developments and applications of biostatistics, especially to time series data. Among other projects, they worked together on revising the well-known textbook "An Introduction to Generalized Linear Models," third edition, Chapman Hall/CRC, 2008. In their new book they share their knowledge of statistical methods for examining seasonal patterns in health.

Modeling a health promotion campaign process

In this work we will present a model that describes how the number of healthy and unhealthy subjects that belong to a cohort, changes through time when there are occurrences of health promotion campaigns aiming to change the undesirable behavior. This model also includes immigration and emigration components for each group and a component taking into account when a subject that used to perform a healthy behavior changes to perform the unhealthy behavior. We will express the model in terms of a bivariate probability generating function and in addition we will simulate the model. ^ An illustrative example on how to apply the model to the promotion of condom use among adolescents will be created and we will use it to compare the results obtained from the simulations and the results obtained by the probability generating function. ^

Household health assessment and associated water sample analysis in the Miches watershed of the Dominican Republic

Background. Diarrhea and malnutrition are the leading causes of mortality for children age one to four in the Dominican Republic. Communities within the Miches watershed lack sanitation infrastructure and water purification systems, which increases the risk of exposure to water-borne pathogens. The purpose of this cross-sectional study was to analyze health information gathered through household interviews and to test water samples for the presence of diarrheagenic pathogens and antibiotic-resistant bacteria within the Miches watershed. Methods. Frequency counts and thematic analysis were used to investigate Human Health Survey responses and Fisher's exact test was used to determine correlation between water source and reported illness. Bacteria cultured from water samples were analyzed by Gram stain, real-time PCR, API® 20E biochemical identification, and for antibiotic resistance. Results. Community members reported concerns about water sources with respect to water quality, availability, and environmental contamination. Pathogenic strains of E. coli were present in the water samples. Drinking aquifer water was positively-correlated with reported stomach aches (p=0.04) while drinking from rivers or creeks was associated with the reported absence of “gripe” (cold or flu) (p=0.01). The lack of association between reported illnesses and water source for the majority of variables suggested that there were multiple vehicles of disease transmission. Antibiotic resistant bacteria were isolated from the water samples tested. Conclusions. The presence of pathogenic E. coli in water samples suggested that water is at least one route of transmission for diarrheagenic pathogens in the Miches watershed. The presence of antibiotic-resistant bacteria in the water samples may indicate the proliferation of resistance plasmids in the environment as a result of antibiotic overuse in human and animal populations and a lack of sanitation infrastructure. An intervention that targets areas of hygiene, sanitation, and water purification is recommended to limit human exposure to diarrheagenic pathogens and antibiotic-resistant organisms. ^

Evaluating the impact of vertical integration on health system peformance

Vertical integration is grounded in economic theory as a corporate strategy for reducing cost and enhancing efficiency. There were three purposes for this dissertation. The first was to describe and understand vertical integration theory. The review of the economic theory established vertical integration as a corporate cost reduction strategy in response to environmental, structural and performance dimensions of the market. The second purpose was to examine vertical integration in the context of the health care industry, which has greater complexity, higher instability, and more unstable demand than other industries, although many of the same dimensions of the market supported a vertical integration strategy. Evidence on the performance of health systems after integration revealed mixed results. Because the market continues to be turbulent, hybrid non-owned integration in the form of alliances have increased to over 40% of urban hospitals. The third purpose of the study was to examine the application of vertical integration in health care and evaluate the effects. The case studied was an alliance formed between a community hospital and a tertiary medical center to facilitate vertical integration of oncology services while maintaining effectiveness and preserving access. The economic benefits for 1934 patients were evaluated in the delivery system before and after integration with a more detailed economic analysis of breast, lung, colon/rectal, and non-malignant cases. A regression analysis confirmed the relationship between the independent variables of age, sex, location of services, race, stage of disease, and diagnosis, and the dependent variable, cost. The results of the basic regression model, as well as the regression with first-order interaction terms, were statistically significant. The study shows that vertical integration at an intermediate health care system level has economic benefits. If the pre-integration oncology group had been treated in the post-integration model, the expected cost savings from integration would be 31.5%. Quality indicators used were access to health care services and research treatment protocols, and access was preserved in the integrated model. Using survival as a direct quality outcome measure, the survival of lung cancer patients was statistically the same before and after integration. ^

Community preferences for cancer pain health states

The study's objective was to assess the reliability, acceptability, and concordance of cancer pain health states when using two utility assessment methods—simple rank order (RO) and numerical analogue scale (NAS). Additional aims were to describe the preferences of Hispanic and non-Hispanic community members toward cancer pain health states and identify predictors affecting these preferences. In this descriptive, cross-sectional study, telephone calls were made to a quota sample of 1,387 households that had telephone numbers listed for the Houston and surrounding Harris County area. Subjects (n = 302) within the general population completed a 20 minute telephone interview in their preferred language—English or Spanish. Study respondents assessed six cancer pain health states consisting of three attributes, pain intensity, presence of side effects, and interference with daily function. ^ Overall, the numerical analogue scale (NAS) had better test-retest reliability. Respondents were able to clearly distinguish the worst health state using both methods, but were not able to do so as clearly for less severe health states. Acceptability and subjects' ability to answer questions and complete the survey was high. Missing responses were low across methods for all health states. Concordance in the health state rankings was higher for the most severe health state in the non-Hispanic group, those in fair to poor health, males, and those $30,000 or greater income. Preferences for the less severe health states did not show much variation across methods. No significant predictors for health states were found except for ethnicity for a less severe health state when using the rank order method. ^ We found that the rank order (RO) and numerical analogue scale (NAS) are both robust in ranking the more severe cancer pain health states, e.g., moderate pain with three side effects. This study documents that RO and NAS methods to assess cancer pain preferences through a telephone-based approach among a relative diverse community dwelling, non-patient population for cancer pain health states represented a relatively valid and acceptable approach. ^

Interrelationships between the structural and functional aspects of social relationships, comorbidity and health related quality of life in breast cancer survivors

It is widely acknowledged in theoretical and empirical literature that social relationships, comprising of structural measures (social networks) and functional measures (perceived social support) have an undeniable effect on health outcomes. However, the actual mechanism of this effect has yet to be clearly understood or explicated. In addition, comorbidity is found to adversely affect social relationships and health related quality of life (a valued outcome measure in cancer patients and survivors). ^ This cross sectional study uses selected baseline data (N=3088) from the Women's Healthy Eating and Living (WHEL) study. Lisrel 8.72 was used for the latent variable structural equation modeling. Due to the ordinal nature of the data, Weighted Least Squares (WLS) method of estimation using Asymptotic Distribution Free covariance matrices was chosen for this analysis. The primary exogenous predictor variables are Social Networks and Comorbidity; Perceived Social Support is the endogenous predictor variable. Three dimensions of HRQoL, physical, mental and satisfaction with current quality of life were the outcome variables. ^ This study hypothesizes and tests the mechanism and pathways between comorbidity, social relationships and HRQoL using latent variable structural equation modeling. After testing the measurement models of social networks and perceived social support, a structural model hypothesizing associations between the latent exogenous and endogenous variables was tested. The results of the study after listwise deletion (N=2131) mostly confirmed the hypothesized relationships (TLI, CFI >0.95, RMSEA = 0.05, p=0.15). Comorbidity was adversely associated with all three HRQoL outcomes. Strong ties were negatively associated with perceived social support; social network had a strong positive association with perceived social support, which served as a mediator between social networks and HRQoL. Mental health quality of life was the most adversely affected by the predictor variables. ^ This study is a preliminary look at the integration of structural and functional measures of social relationships, comorbidity and three HRQoL indicators using LVSEM. Developing stronger social networks and forming supportive relationships is beneficial for health outcomes such as HRQoL of cancer survivors. Thus, the medical community treating cancer survivors as well as the survivor's social networks need to be informed and cognizant of these possible relationships. ^

The relationship between risk perception and ethnicity as an explanation for late stage skin cancer diagnosis in Black and Hispanic populations: An analysis using data from the 2005 Health Information and National Trends Survey

Objective. The purpose of this study was to determine the relationship between ethnicity and skin cancer risk perception while controlling for other risk factors: education, gender, age, access to healthcare, family history of skin cancer, fear, and worry. ^ Methods. This study utilized the Health Information National Trends Survey (HINTS) dataset, a nationally representative sample of 5,586 individuals 18 years of age or older. One third of the respondents were chosen at random and asked questions involving skin cancer. Analysis was based on questions that identified skin cancer risk perception, fear of finding skin cancer, and frequency of worry about skin cancer and a variety of sociodemographic factors. ^ Results. Ethnicity had a significant impact on risk perception scores while controlling for other risk factors. Other risk factors that also had a significant impact on risk perception scores included family history of skin cancer, age, and worry. ^

The effect of yoga on cardiovascular health as measured by heart rate variability in a sample of breast cancer patients

The study is a three-armed randomized controlled trial comparing values for heart rate variability (HRV), a measure of cardiovascular health, throughout a yoga intervention of breast cancer patients undergoing radiotherapy. Patients attended either a yoga (n=45), stretch, (n=46), or control (n=42) condition 3 times per week for 6 weeks of radiation. Electrocardiograms (ECGs) were conducted on each participant to provide the values necessary for HRV analysis. Analyses focused on examining scores for those participants with HRV baseline values considered to be below the cutoff point for healthy HRV levels, defined by the authors as below the cutpoint of 68 ms. From the entire sample of 133 with available baselines, 26 yogis, 26 stretchers, and 23 controls were determined to be “pathologic” in terms of HRV, and selected for follow-up analysis at 3 weeks and then again at 6 weeks. Though no statistically significant differences were found between either group means at each timepoint or group change score means, the yoga group had consistently higher mean score and mean change scores. These findings are suggestive and indicate the need to refine the use of ECGs and HRV analysis programs to more accurately and comprehensively assess the effects of yoga on cardiovascular health in cancer patients.^

Cancer perceptions: Implications from the 2007 Health Information National Trends Survey

Background. Research has demonstrated associations between sociodemographic characteristics and illness perceptions; however, the impact of cancer exposure through personal or family diagnoses is not well-studied. The purposes of this study were to examine the prevalence of different cancer beliefs and the disparity in cancer beliefs across groups of individuals with distinct cancer histories; and to identify whether, when adjusted for sociodemographic characteristics, cancer history predicts a set of cancer beliefs.^ Methods. Using Leventhal’s Common Sense Model and data from the 2007 Health Information National Trends Survey (N=7172), we constructed multivariable logistic regressions to evaluate the effect of different stimuli, including cancer experience, on cancer perceptions (e.g., risk, worry, causation, outcome).^ Results. Findings indicate significant associations between cancer history and cancer perceptions. Individuals with family and personal cancer histories were more likely than individuals without any cancer history to worry about getting cancer (OR=3.55, P<0.01), agree they will develop cancer in the future (OR=8.81, P<0.01), and disagree that cancer is most often caused by a person’s behavior or lifestyle (OR=1.24, P=0.03). Additionally, results support education’s role in forming cancer perceptions. Individuals with high levels of education were more likely to endorse cancer prevention (OR=1.68, P<0.01) and higher 5-year survival rates (OR=1.41, P<0.01). ^ Conclusions. Results indicate cancer history affects cancer perceptions throughout the cancer continuum. Additionally, cancer history may influence coping behaviors and outcomes related to cancer.^ Impact. Cancer education and survivorship programs should assess important variables (e.g., cancer history) to more effectively tailor services and monitor evolving needs throughout cancer care.^

Characterization of fecal contamination targeting 16S rRNA bacteroides molecular markers in the Santa Cruz River, Arizona

Understanding the origins, transport and fate of contamination is essential to effective management of water resources and public health. Individuals and organizations with management responsibilities need to understand the risks to ecosystems and to humans from contact with contamination. Managers also need to understand how key contaminants vary over time and space in order to design and prioritize mitigation strategies. Tumacacori National Historic Park (NHP) is responsible for management of its water resources for the benefit of the park and for the health of its visitors. The existence of microbial contaminants in the park poses risks that must be considered in park planning and operations. The water quality laboratory at the Maricopa Agricultural Center (in collaboration with stakeholder groups and individuals located in the ADEQ-targeted watersheds) identified biological changes in surface water quality in impaired reaches rivers to determine the sources of Escherichia coli (E. coli); bacteria utilizing innovative water quality microbial/bacterial source tracking methods. The end goal was to support targeted watershed groups and ADEQ towards E. coli reductions. In the field monitoring was conducted by the selected targeted watershed groups in conjunction with The University of Arizona Maricopa Agricultural Center Water Quality Laboratory. This consisted of collecting samples for Bacteroides testing from multiple locations on select impaired reaches, to determine contamination resulting from cattle, human recreation, and other contributions. Such testing was performed in conjunction with high flow and base flow conditions in order to accurately portray water quality conditions and variations. Microbial monitoring was conducted by The University of Arizona Water Quality Laboratory at the Maricopa Agricultural Center using genetic typing to differentiate among two categories of Bacteroides: human and all (total). Testing used microbial detection methodologies and molecular source tracking techniques.^

Lifetime prevalence and risk factors for cancer in a Mexican American population with severe health disparities: The Cameron County Hispanic Cohort

Retrospective data from the Cameron Country Hispanic Cohort (1) were analyzed to assess the burden of cancer in the Mexican American population living in Brownsville TX. Data provided by the study participants for themselves and their parents and other extended relatives on cancer and related risk factors were used to determine both the prevalence of cancer and these risk factors as well as any associations between them. Lifetime incidence of cancer among the study participants was of 2.8%. Lifetime incidence of cancer among the parents of the study population was calculated for cancer in general and for specific cancer sites to determine the ranking of occurrence of each type of cancer. Some cancer types in this population were ranked higher than what would be expected when compared with national data from Hispanics in the U.S, these were: Liver cancer (3rd vs. 7th nationally in males and 6th vs. 13th nationally in females), stomach cancer (4th vs. 8th nationally in males and 5th vs. 11th nationally in females) and ovarian cancer (3rd vs. 8th nationally in females). A significant association with cancer was found for being born in the United States compared to being born elsewhere (O.R. 1.62, 95% C.I. 1.01–2.60) among study participants and the same association was also found between birth of parents in the United States regardless of gender for cancers in general (O.R. 1.38 95% C.I. 1.12–1.70), stomach cancer (O.R. 1.92 95% C.I. 1.01–3.67) and colorectal cancer (O.R. 2.93 95% C.I. 1.28–6.72). Having been born in the United States and having a family history of cancer was also found to be significantly associated with other risk factors for cancer such as obesity, diabetes and insulin resistance, both among the parents and the participant population, suggesting these interactions are complex. These high rates of cancer and particular prominence of less usual cancer such as liver and ovary in health disparities warrant evaluation of early detection strategies.^

Joining S100 proteins and migration:for better or for worse, in sickness and in health

The vast diversity of S100 proteins has demonstrated a multitude of biological correlations with cell growth, cell differentiation and cell survival in numerous physiological and pathological conditions in all cells of the body. This review summarises some of the reported regulatory functions of S100 proteins (namely S100A1, S100A2, S100A4, S100A6, S100A7, S100A8/S100A9, S100A10, S100A11, S100A12, S100B and S100P) on cellular migration and invasion, established in both culture and animal model systems and the possible mechanisms that have been proposed to be responsible. These mechanisms involve intracellular events and components of the cytoskeletal organisation (actin/myosin filaments, intermediate filaments and microtubules) as well as extracellular signalling at different cell surface receptors (RAGE and integrins). Finally, we shall attempt to demonstrate how aberrant expression of the S100 proteins may lead to pathological events and human disorders and furthermore provide a rationale to possibly explain why the expression of some of the S100 proteins (mainly S100A4 and S100P) has led to conflicting results on motility, depending on the cells used. © 2013 Springer Basel.

The molecular cloning and characterization of human heparanase cDNA and the immunochemical localization of heparanase in metastatic melanomas

Heparanase, an endo-$\beta$-D-glucuronidase, has been associated with melanoma metastasis. Polyclonal antibodies directed against the murine N-terminal heparanase peptide detected a M$\sb{\rm r}\sim 97,000$ protein upon SDS-polyacrylamide gel electrophoresis of mouse melanoma and human melanoma cell lysates. In an indirect immunocytochemical study, metastatic human A375-SM and mouse B16-BL6 melanoma cells were stained with the anti-heparanase antibodies. Heparanase antigen was localized in the cytoplasm of permeabilized melanoma cells as well as at the cell surface of unpermeabilized cells. Immunohistochemical staining of frozen sections from syngeneic mouse organs containing micrometastases of B16-BL6 melanoma demonstrated heparanase localized in metastatic melanoma cells, but not in adjacent normal tissues. Similar studies using frozen sections of malignant melanomas resected from patients indicated that heparanase is localized in invading melanoma cells, but not in adjacent connective tissues.^ Monoclonal antibodies directed against murine heparanase were developed and characterized. Monoclonal antibody 10E5, an IgM, precipitated and inhibitated the enzymatic activity of heparanase. A 2.6 kb cDNA was isolated from a human melanoma $\lambda$gt11 cDNA library using the monoclonal antibody 10E5. Heparan sulfate cleavage activity was detected in the lysogen lysates from E. Coli Y1089 infected with the $\lambda$gt11 cDNA and this activity was inhibited in the presence of 10-fold excess of heparin, a potent inhibitor of heparanase. The nucleotide sequence of the cDNA was determined and insignificant homology was found with the gene sequences currently known. The cDNA hybridized to a 3.2-3.4 kb mRNA in human A375 melanoma, WI-38 fibroblast, and THP-1 leukemia cells using Northern blots.^ Heparanase expression was examined using Western and Northern blots. In comparison to human A375-P melanoma cells, the quantity of 97,000 protein recognized by the polyclonal anti-heparanase antibodies doubled in the metastatic variant A375-SM cells and the quantity of 3.2-3.4 kb mRNA doubled in A375MetMix, a metastatic variant similar to A375-SM cells. In B16 murine melanoma cell, the intensity of the 97,000 protein increased more than 2 times comparing with B16-F1 cells. The extent in the increase of the protein and the mRNA levels is comparable to the change of heparanase activity observed in those cells.^ In summary, the studies suggest that (a) the N-terminus of the heparanase molecule in mouse and human is antigenically related; (b) heparanase antigens are localized at the cell surface and in the cytoplasm of metastatic human and mouse melanoma cells; (c) heparanase antigens are localized in invasive and metastatic murine and human melanomas in vivo, but not in adjacent normal tissues; (d) heparanase molecule appeared to be differentially expressed at the transcriptional as well as at the translational level; and (e) the size of human heparanase mRNA is 3.2-3.4 kilobase. ^

A molecular study of the rhodopsin locus in patients with retinitis pigmentosa

DNA for this study was collected from a sample of 133 retinitis pigmentosa (RP) patients and the rhodopsin locus molecularly analyzed by linkage and for disease specific mutations. The cohort of patients consisted of 85 individuals diagnosed with autosomal dominant RP (adRP), and 48 patients representing other forms of retinitis pigmentosa or retinal dystrophy related disease. In three large families with adRP rhodopsin was excluded from linkage to the disease locus. A search for subtle mutations in the rhodopsin coding region using single strand conformational polymorphisms (SSCP) and sequencing detected a total of 14 unique sequence variants in 24 unrelated patients. These variants included one splicing variant, 5168 -1G-A, one deletion variant of 17 base pairs causing a frame shift at codon 332, and 12 misense variants: Pro23His, Leu46Arg, Gly106Trp, Arg135Pro, Pro171Glu, Pro180Ala, Glu181Lys, Asp190Asn, His211Arg, Ser270Arg, Leu328Pro and Pro347Thr. All but three of the missense variants change amino acids that are evolutionarily conserved. The Pro23His mutation was found in 10 unrelated individuals with family histories of adRP and not in any normal controls (over 80 chromosomes tested). The Pro180Ala mutation was present in a patient with simplex RP and probably represents a new mutation. Three normal polymorphic nucleotide substitutions, A-269-G, T-3982-C, and G-5145-A, were also identified. We conclude, based on this study, that 25% of adRP cases are attributable to rhodopsin mutations.^ Clinical data, including ERG results and visual field testing, was available for patients with eleven different mutations. The eleven patients were all diagnosed with RP, however the severity of the disease varied with five patients mildly affected and diagnosed with type II adRP and 5 patients severely affected and diagnosed with type I adRP. The patient with simplex RP was mildly affected. The location of the mutations within the rhodopsin protein was randomly associated with the severity of the disease in those patients evaluated. However, four mutations, Pro23His, Leu46Arg, Pro347Thr, and 5168 -1G-A, are particularly interesting. The Pro23His mutation appears to have radiated from a recent common ancestor of the affected patients as all of them share a common haplotype at the rhodopsin locus. The Leu46Arg mutation causes an unusually severe form of RP. Hydropathy analysis of the mutated sequence revealed a marked change in the hydrophobicity of this first transmembrane spanning region. Codon 347 has been the target of multiple mutations with at least six documented changes at the position, significantly more than expected by a random distribution of mutations. Finally the splice-site variant is extremely variable in its expression in the family studied. Similar mutations have been reported in other cases of adRP and postulated to be involved in autosomal recessive RP (arRP). Mechanisms to account for the variable expression of rhodopsin mutations in relation to RP heterogeneity are discussed. (Abstract shortened by UMI.) ^