Use of complementary and alternative medicine in Hawaii cancer patients.

This research investigated complementary and alternative medicine (CAM) use by Hawaii cancer patients. Thirty-six percent of patients used CAM, most commonly religious/spiritual therapy and herbal treatments. CAM use was linked with younger age, female gender, Catholic religion, and more education. More research is needed to inform decision-making.R01 CA 61711/CA/NCI NIH HHS/United StatesR01 CA 64045/CA/NCI NIH HHS/United State

"Navigating Change." A Voyage to Connect Science and Culture with Health

Hawai'i faces serious health problems, with average morbidity and mortality rates in key indicators often higher than their mainland counterparts. Much of this relates to poor dietary intake and inadequate physical activity. Many health initiatives have tried to address this issue. This paper examines a unique approach that integrates the health of the land and ecosystem with the health of the people who live in it. We discuss "Navigating Change," a program that brings together students, scientists and culture experts to address the health of the ecosystem, and demonstrate its relation to how we can live healthier lives. Health practitioners are encouraged to 1) understand the scope of the need; 2) increase and utilize resources; and 3) incorporate cultural healing in their practice

Phytoestrogens

Collectively, plants contain several different families of natural products among which are compounds with weak estrogenic or antiestrogenic activity toward mammals. These compounds, termed phytoestrogens, include certain isoflavonoids, flavonoids, stilbenes, and lignans. The best-studied dietary phytoestrogens are the soy isoflavones and the flaxseed lignans. Their perceived health beneficial properties extend beyond hormone-dependent breast and prostate cancers and osteoporosis to include cognitive function, cardiovascular disease, immunity and inflammation, and reproduction and fertility. In the future, metabolic engineering of plants could generate novel and exquisitely controlled dietary sources with which to better assess the potential health beneficial effects of phytoestrogens

Characteristics of Marshallese with Type 2 Diabetes on Oahu: A Pilot Study to Implement a Community-based Diabetic Health Improvement Project

Objectives – To determine the feasibility of a resident physician-based, culturally appropriate method of decreasing the disease burden of Type 2 Diabetes Mellitus (DM2) in a group of Pacific Islanders, Marshallese living in Hawai'i. Methods – Thirty Marshallese with diabetes who live on the island of Oahu, Hawaii were recruited. Baseline health status of the participants was characterized. Health parameters included HgbA1c, random blood sugar (RBS), lipid panels, body mass index (BMI), blood pressure, and medical history, along with qualitative information. A focus group was held with participants prior to beginning the curriculum to determine cultural views on diabetes, health, treatment, and to identify potential obstacles to health improvement. A DM2 educational curriculum culturally relevant to Marshallese populations was then started, including instruction in lifestyle modification, adherence to medication regimens, and planned quarterly assessment of health improvement. Results – Baseline quantitative analysis revealed Marshallese with diabetes to be obese and hyperglycemic, with average BMI of 30 kg/m2 , RBS of 285, and HgbA1c of 9.3. Qualitative analysis revealed that nearly half the participants admitted to symptoms of severe hyperglycemia. The initial focus group had a substantial turnout. Attendance rapidly declined, becoming so low that classes were eventually terminated. However, in two participants who attended more than three classes there was evidence of major improvements in HgbA1c, cholesterol, and qualitative markers, which were sustained after one year. Conclusions – This pilot study of Marshallese with diabetes on Oahu showed that the majority had poor glycemic control with secondary co-morbid conditions. Although many barriers exist for successful implementation of a diabetes health improvement project in this group, the groundwork for translation of this project to the Republic of Marshall Islands (RMI) has been laid; curriculum translation and patient recruitment is currently underway to advance the project

Micronesian Migrants in Hawaii: Health Issues and Culturally Appropriate, Community-Based Solutions

More than 20,000 Micronesians have migrated to Guam, Hawaii, or the Commonwealth of the Northern Mariana Islands. Of these migrants, more than 8,000 now live in Hawaii. Factors in their home islands driving the recent emigration include the limited economic resources and struggling health care systems. Education systems in Micronesia are inadequate, and there are few job opportunities. The rates of infectious diseases remain high while at the same time, the epidemiologic transition in health has led to an explosion of non-communicable diseases. In Hawaii, the impact of the Micronesians emigration has been significant with most health and education expenses un-reimbursed. The health care costs alone are substantial as many Micronesians travel to Guam or Hawaii for medical treatment unavailable in their home islands. At the same time, Micronesians have difficulty accessing and navigating the health care system. While governmental, private, and academic programs already provide innovative and communitybased services to the Micronesian population, more work remains to be done. Not only are additional services, tailored to the culture and needs of Micronesian migrants, needed but a keener awareness and understanding of the issues surrounding Hawaii’s migrant population must be promoted among all public health stakeholders to ensure that the priority necessary to successfully address these challenges is recognized

A comprehensive evaluation of interaction between genetic variants and use of menopausal hormone therapy on mammographic density.

INTRODUCTION: Mammographic density is an established breast cancer risk factor with a strong genetic component and can be increased in women using menopausal hormone therapy (MHT). Here, we aimed to identify genetic variants that may modify the association between MHT use and mammographic density. METHODS: The study comprised 6,298 postmenopausal women from the Mayo Mammography Health Study and nine studies included in the Breast Cancer Association Consortium. We selected for evaluation 1327 single nucleotide polymorphisms (SNPs) showing the lowest P-values for interaction (P int) in a meta-analysis of genome-wide gene-environment interaction studies with MHT use on risk of breast cancer, 2541 SNPs in candidate genes (AKR1C4, CYP1A1-CYP1A2, CYP1B1, ESR2, PPARG, PRL, SULT1A1-SULT1A2 and TNF) and ten SNPs (AREG-rs10034692, PRDM6-rs186749, ESR1-rs12665607, ZNF365-rs10995190, 8p11.23-rs7816345, LSP1-rs3817198, IGF1-rs703556, 12q24-rs1265507, TMEM184B-rs7289126, and SGSM3-rs17001868) associated with mammographic density in genome-wide studies. We used multiple linear regression models adjusted for potential confounders to evaluate interactions between SNPs and current use of MHT on mammographic density. RESULTS: No significant interactions were identified after adjustment for multiple testing. The strongest SNP-MHT interaction (unadjusted P int <0.0004) was observed with rs9358531 6.5kb 5' of PRL. Furthermore, three SNPs in PLCG2 that had previously been shown to modify the association of MHT use with breast cancer risk were found to modify also the association of MHT use with mammographic density (unadjusted P int <0.002), but solely among cases (unadjusted P int SNP×MHT×case-status <0.02). CONCLUSIONS: The study identified potential interactions on mammographic density between current use of MHT and SNPs near PRL and in PLCG2, which require confirmation. Given the moderate size of the interactions observed, larger studies are needed to identify genetic modifiers of the association of MHT use with mammographic density.This is the final version of the article. It first appeared from BioMed Central via http://dx.doi.org/10.1186/s13058-015-0625-

Results from a 13-Year Prospective Cohort Study Show Increased Mortality Associated with Bloodstream Infections Caused by Pseudomonas aeruginosa Compared to Other Bacteria

ABSTRACT The impact of bacterial species on outcome in bloodstream infections (BSI) is incompletely understood. We evaluated the impact of bacterial species on BSI mortality, with adjustment for patient, bacterial, and treatment factors. From 2002 to 2015, all adult inpatients with monomicrobial BSI caused by Staphylococcus aureus or Gram-negative bacteria at Duke University Medical Center were prospectively enrolled. Kaplan-Meier curves and multivariable Cox regression with propensity score models were used to examine species-specific bacterial BSI mortality. Of the 2,659 enrolled patients, 999 (38%) were infected with S. aureus , and 1,660 (62%) were infected with Gram-negative bacteria. Among patients with Gram-negative BSI, Enterobacteriaceae (81% [1,343/1,660]) were most commonly isolated, followed by non-lactose-fermenting Gram-negative bacteria (16% [262/1,660]). Of the 999 S. aureus BSI isolates, 507 (51%) were methicillin resistant. Of the 1,660 Gram-negative BSI isolates, 500 (30%) were multidrug resistant. The unadjusted time-to-mortality among patients with Gram-negative BSI was shorter than that of patients with S. aureus BSI ( P = 0.003), due to increased mortality in patients with non-lactose-fermenting Gram-negative BSI generally ( P < 0.0001) and Pseudomonas aeruginosa BSI ( n = 158) in particular ( P < 0.0001). After adjustment for patient demographics, medical comorbidities, bacterial antibiotic resistance, timing of appropriate antibiotic therapy, and source control in patients with line-associated BSI, P. aeruginosa BSI remained significantly associated with increased mortality (hazard ratio = 1.435; 95% confidence interval = 1.043 to 1.933; P = 0.02). P. aeruginosa BSI was associated with increased mortality relative to S. aureus or other Gram-negative BSI. This effect persisted after adjustment for patient, bacterial, and treatment factors

Percentage density, Wolfe's and Tabár's mammographic patterns: agreement and association with risk factors for breast cancer

INTRODUCTION: The purpose of this report was to classify mammograms according to four methods and to examine their agreement and their relationship to selected risk factors for breast cancer. METHOD: Mammograms and epidemiological data were collected from 987 women, aged 55 to 71 years, attending the Norwegian Breast Cancer Screening Program. Two readers each classified the mammograms according to a quantitative method (Cumulus or Madena software) and one reader according to two qualitative methods (Wolfe and Tabár patterns). Mammograms classified in the reader-specific upper quartile of percentage density, Wolfe's P2 and DY patterns, or Tabár's IV and V patterns, were categorized as high-risk density patterns and the remaining mammograms as low-risk density patterns. We calculated intra-reader and inter-reader agreement and estimated prevalence odds ratios of having high-risk mammographic density patterns according to selected risk factors for breast cancer. RESULTS: The Pearson correlation coefficient was 0.86 for the two quantitative density measurements. There was moderate agreement between the Wolfe and Tabár classifications (Kappa = 0.51; 95% confidence interval 0.46 to 0.56). Age at screening, number of children and body mass index (BMI) showed a statistically significant inverse relationship with high-risk density patterns for all four methods (all P < 0.05). After adjustment for percentage density, the Wolfe classification was not associated with any of the risk factors for breast cancer, whereas the association with number of children and BMI remained statistically significant for the Tabár classification. Adjustment for Wolfe or Tabár patterns did not alter the associations between these risk factors and percentage mammographic density. CONCLUSION: The four assessments methods seem to capture the same overall associations with risk factors for breast cancer. Our results indicate that the quantitative methods convey additional information over the qualitative methods