Background The club cell secretory protein (CC16) has anti-inflammatory and antioxidant effects, and low CC16 serum levels have been associated with both risk and progression of COPD, yet the interaction between smoking and CC16 on lung function outcomes remains unknown. Methods Utilizing cross-sectional data on United States veterans, CC16 serum concentrations were measured by ELISA and log transformed for analyses. Spirometry was conducted and COPD status was defined by post-bronchodilator FEV 1 /FVC ratio < 0.7. Smoking measures were self-reported on questionnaire. Multivariable logistic and linear regression were employed to examine associations between CC16 levels and COPD, and lung function with adjustment for covariates. Unadjusted Pearson correlations described relationships between CC16 level and lung function measures, pack-years smoked, and years since smoking cessation. Results The study population (N = 351) was mostly male, white, with an average age over 60 years. An interaction between CC16 and smoking status on FEV 1 /FVC ratio was demonstrated among subjects with COPD (N = 245, p = 0.01). There was a positive correlation among former smokers and negative correlation among current or never smokers with COPD. Among former smokers with COPD, CC16 levels were also positively correlated with years since smoking cessation, and inversely related with pack-years smoked. Increasing CC16 levels were associated with lower odds of COPD (OR adj = 0.36, 95% CI 0.22–0.57, P adj < 0.0001). Conclusions Smoking status is an important effect modifier of CC16 relationships with lung function. Increasing serum CC16 corresponded to increases in FEV 1 /FVC ratio in former smokers with COPD versus opposite relationships in current or never smokers. Additional longitudinal studies may be warranted to assess relationship of CC16 with smoking cessation on lung function among subjects with COPD.

Background The club cell secretory protein (CC16) has anti-inflammatory and antioxidant effects and is a potential early biomarker of lung damage. The CC16 single nucleotide polymorphism (SNP) rs3741240 risk allele (A) has been inconsistently linked to asthma; other tagging SNPs in the gene have not been explored. The aim was to determine whether CC16 tagging polymorphisms are associated with adult asthma, asthma subtypes or asthma control in the Agricultural Lung Health Study (ALHS). Methods The ALHS is an asthma case-control study nested in the Agricultural Health Study cohort. Asthma cases were individuals with current doctor diagnosed asthma, likely undiagnosed asthma, or asthma-COPD overlap defined by questionnaire. We also examined asthma subtypes and asthma control. Five CC16 tagging SNPs were imputed to 1000 Genomes Integrated phase 1 reference panel. Logistic regression was used to estimate associations between CC16 SNPs and asthma outcomes adjusted for covariates. Results The sample included 1120 asthma cases and 1926 controls of European ancestry, with a mean age of 63 years. The frequency of the risk genotype (AA) for rs3741240 was 12.5% (n = 382). CC16 rs3741240 was not associated with adult asthma outcomes. A tagging SNP in the CC16 gene, rs12270961 was associated with uncontrolled asthma (n = 208, OR adj = 1.4, 95% CI 1.0, 1.9; p = 0.03). Conclusion This study, the largest study to investigate associations between CC16 tagging SNPs and asthma phenotypes in adults, did not confirm an association of rs3741240 with adult asthma. A tagging SNP in CC16 suggests a potential relationship with asthma control.

RationaleThe relationship between many fatty acids and respiratory outcomes remains unclear, especially with regard to mechanistic actions. Altered regulation of the process of lung repair is a key feature of chronic lung disease and may impact the potential for pulmonary rehabilitation, but underlying mechanisms of lung repair following injury or inflammation are not well-studied. The epidermal growth factor receptor agonist amphiregulin (AREG) has been demonstrated to promote lung repair following occupational dust exposure in animals. Studies suggest the polyunsaturated fatty acid (PUFA) docosahexaenoic acid (DHA) may enhance the production of AREG. The objective of this study was to determine the relationship between fatty acids and lung function in a population of veterans and determine if fatty acid status is associated with concentrations of AREG.Materials and MethodsData were collected from a cross-sectional study of veterans within the Nebraska-Western Iowa Health Care System. Whole blood assays were performed to quantify AREG concentrations via a commercially available ELISA kit. Fatty acids from plasma samples from the same patients were measured using gas-liquid chromatography. Intakes of fatty acids were quantified with a validated food frequency questionnaire. Linear regression models were used to determine whether plasma fatty acids or intakes of fatty acids predicted lung function or AREG concentrations. A p < 0.05 was considered statistically significant.ResultsNinety participants were included in this analysis. In fully adjusted models, plasma fatty acids were associated with AREG production, including the PUFA eicosapentaenoic acid (EPA) (β = 0.33, p = 0.03) and the monounsaturated fatty acid octadecenoic acid: (β = −0.56, p = 0.02). The omega-3 PUFA docosapentaenoic acid (DPA) was positively associated with lung function (β = 0.28, p = 0.01; β = 26.5, p = 0.05 for FEV1/FVC ratio and FEV1 % predicted, respectively), as were the omega-6 PUFAs eicosadienoic acid (β = 1.13, p < 0.001; β = 91.2, p = 0.005 for FEV1/FVC ratio and FEV1 % predicted, respectively) and docosadienoic acid (β = 0.29, p = 0.01 for FEV1/FVC ratio). Plasma monounsaturated and saturated fatty acids were inversely associated with lung function.ConclusionOpposing anti- and pro-inflammatory properties of different fatty acids may be associated with lung function in this population, in part by regulating AREG induction.

We used largest data to determine the potential role of gender and other factors on breast cancer treatment refusal in the US. Females tend to refuse hormone therapy and surgery compared to males. Demographic and clinical factors association with treatment varied by treatment type. The results can be used to increase the Background: Previous studies have explored surgery refusal among female breast cancer patients. However, little attention has been given to other therapies in both females and males. The goal of this study was to determine the potential role of gender on recommended hormone therapy, chemotherapy, radiation therapy, and surgery refusal and to describe other determinants of refusal. Materials and Methods: A retrospective study of the National Cancer Database (NCDB) between 2004 and 2016 was conducted. The outcome was whether patients accepted or refused the recomand surgery) relation to gender and other factors. Results: A total of 906,342 breast cancer patients met the eligibility cr iter ia for hormone therapy, 1,228,132 for surgery, 596,229 for chemotherapy, and 858,050 for radiation therapy. The odds of refusing hormone therapy and surgery in males were 17% (AOR = 0.83; 95% CI: 0.75???0.92) and 33% (AOR = 0.67; 95% CI: 0.50???0.90) lower compared to female patients, respectively. The odds of refusing radiation therapy were 14% higher in males compared to females (AOR = 1.14; 95% CI:1.03???1.30). Older age and lack of insurance were significantly associated with each treatment refusal. Conclusion: Female patients tend to refuse hormone therapy and surgery compared to males. A marginally statistically significant gender differences was found for radiotherapy refusal. The providers and other stakeholders can utilize the current findings to identify the risk groups and barriers associated with refusal for each treatment and to develop interventions.

Purpose The purpose of this study was to examine differences between urban and rural primary care clinics in the use of colorectal cancer (CRC) screening methods and evidence-based interventions to promote CRC screening. Methods This was a cross-sectional survey of primary care clinics in Nebraska. Surveys in paper form were sent out and followed up with telephone interviews to nonrespondents. Of the 375 facilities, 263 (70.1%) responded to the survey. Findings Over 30% of urban clinics indicated that 80% or more of their patients were meeting the CRC guidelines compared to 18.3% of rural clinics (P = .03). Rural clinics were more likely than urban clinics to prefer the use of colonoscopy alone or in combination with stool tests (P = .02). The most common interventions for CRC screening included one-on-one patient education and use of computer-based pop-ups to remind providers. Conclusions In conclusion, we found some important differences between rural and urban primary care clinics in the implementation of CRC screening. Given that there is evidence for differences in preference for CRC screening methods (colonoscopy vs stool-based tests) between rural and urban community members, it is important to assess the effectiveness of different types of CRC screening interventions by comparing rural and urban primary care clinic patient populations.

Rationale: High intake of dietary fiber may have antiinflammatory properties and be protective against respiratory morbidity. Objectives: We examined the relationship between dietary fiber intake and asthma, respiratory symptoms, and inflammation among adults who participated in the 2007 to 2012 NHANES (National Health and Nutrition Examination Survey). Methods: We analyzed data from adults 20 to 79 years of age (n = 13,147) with complete information on fiber intake, total calorie intake, body mass index, smoking status, and poverty level. Fiber intake was categorized into quartiles, with Q1 being lowest quartile of intake and Q4 being the highest quartile. Respiratory morbidities included asthma, wheeze, cough, and phlegm. Self-report questionnaires were used to define asthma, wheeze, cough, and phlegm production. Serum C-reactive protein (CRP) was used as a biomarker of inflammation. Exclusion criteria included current pregnancy and implausible intake of total calories. Results: A total of 69.5% of participants were non-Hispanic white; 54.5% were nonsmokers, and 7.8% had current asthma. After adjusting for covariates, fiber intake was associated with asthma (P =0.01), with an increased odds of asthma with lower fiber intake (Q1 vs. Q4: odds ratio [OR], 1.4; 95% confidence interval [CI], 1.01.8; P = 0.027). There were significant interactions between fiber and sex and fiber and race/ethnicity; stronger associations were seen for women and for non-Hispanic white adults. Low fiber intake (Q1) was associated with increased odds of wheeze (OR, 1.3; 95% CI, 1.01.6; P= 0.018), cough (OR, 1.7; 95% CI, 1.2-2.3; P= 0.002), and phlegm (OR, 1.4; 95% CI, 1.1-2.0; P = 0.021) compared with high fiber intake. The odds of having high CRP versus nondetectable CRP were 1.6 times higher in the low-fiber group (Q1) compared with high-fiber group (Q4; OR, 1.6; 95% CI, 1.0-2.5). Conclusions: High-fiber diet may mediate an inflammatory response and decrease odds of having asthma, especially for women and specific racial groups, cough, wheeze, and phlegm production when compared with low-fiber diet.

Background : Despite advances of surgical techniques, hepatectomy continues to be potentially dangerous and is associated with postoperative mortality, morbidity and readmission. The objective of this study was to determine the effect of 30-day unplanned readmission on ‘conditional’ 90-day mortality among hepatocellular carcinoma (HCC) patients that underwent partial hepatectomy. Methods : National Cancer Database (NCDB) was queried from 2004 to 2012 for patients with hepatocellular carcinoma (HCC) who underwent partial hepatectomy. Thirty-day unplanned readmission rate, and associated risk factors, was determined for 7,696 patients. The association between 30-day unplanned readmission and conditional 90-day mortality was further addressed. Results : The 30-day unplanned readmission rate for patients with HCC that underwent partial hepatectomy was 5.2%. Risk factors associated with 30-day unplanned readmission were sex, race/ethnicity, Charlson-Deyo score, and annual hospital hepatectomy volume. An overall adjusted odds ratio of having conditional 90-day mortality was 2.325 times higher (95% CI 1.643 - 3.219) among patients with a history of 30-day unplanned readmission than those without. This association was dependent on age, sex, race/ethnicity, insurance status, alpha-fetoprotein (AFP), liver fibrosis, Charlson-Deyo comorbidity score and annual hospital hepatectomy volume. Conclusion : Efforts in patient care should be taken to reduce 30-day unplanned readmission after partial hepatectomy for patients with HCC to reduce conditional 90-day mortality.

Objectives: Migrant farmworkers face many hardships in both their working and living environments including dangerous and demanding tasks, long hours, and inadequate rest. This study sought to explore gender differences in the reporting of fatigue and pain and to identify predictors of fatigue and pain among migrant farmworkers in Nebraska (n = 241). Methods: Bivariate tests were used to assess associations among study variables. Linear and generalized linear mixed effect models were used to assess gender as a predictor of fatigue and pain respectively while controlling for covariates. Results: Females reported significantly higher levels of fatigue (M score = 15.5, SD = 6.1 compared to M score = 12.8, SD = 4.3) than their male counterparts. Females were also more likely to report pain (56.9% of females compared to 36.3% of males). Being female, pain, hours of sleep, and job demands were significant predictors of fatigue. Fatigue and job-related injury were the only significant predictors of pain. Conclusions: There are gender-related disparities in the reporting of fatigue and pain among Latino/a migrant farmworkers. Extra precautions need to be taken to protect worker health and safety and reduce fatigue, particularly for female workers. Implications for employers, supervisors, and healthcare providers are discussed.

The lung microbiome is associated with host immune response and health outcomes in experimental models and patient cohorts. Lung microbiome research is increasing in volume and scope; however, there are no established guidelines for study design, conduct, and reporting of lung microbiome studies. Standardized approaches to yield reliable and reproducible data that can be synthesized across studies will ultimately improve the scientific rigor and impact of published work and greatly benefit microbiome research. In this review, we identify and address several key elements of microbiome research: conceptual modeling and hypothesis framing; study design; experimental methodology and pitfalls; data analysis; and reporting considerations. Finally, we explore possible future directions and research opportunities. Our goal is to aid investigators who are interested in this burgeoning research area and hopefully provide the foundation for formulating consensus approaches in lung microbiome research.

BACKGROUNDThe incidence of liver cancer has more than tripled since 1980. Hepatectomy represents the major curative treatment for liver cancer. The risk factors associated with 90-day mortality after hepatectomy are not well understood and there are currently no good prediction models for this outcome. The objectives of the current study were to identify risk factors of 90-day mortality after hepatectomy in patients with hepatocellular carcinoma and to develop an integer-based risk score using the National Cancer Database.METHODSHepatectomies recorded in the National Cancer Database during 2004-2012 were reviewed for 90-day mortality. Risk factors were identified by multivariate logistic regression models. An integer-based risk score was developed using the β coefficients derived from the logistic regression model and tested for discriminatory ability. According to the total risk score, patients were grouped into 4 risk groups.RESULTSThe overall 90-day mortality was 10.2%. Ten risk factors were identified, which included sex, age, race/ethnicity, insurance status, education, annual hospital volume, stage, tumor grade, Charlson-Deyo Score, and surgical procedure. The risk of 90-day mortality was stratified into 4 groups. The calculated 90-day mortality rates were 2.47%, 5.88%, 12.58%, and 24.67% for low-risk, medium-risk, high-risk, and excessive-risk groups, respectively. An area under the receiver operating characteristic curve of 0.69 was obtained for model discrimination.CONCLUSIONSThe integer-based risk score we developed could easily quantify each patient's risk level and predict 90-day mortality after hepatectomy. The stratified risk score could be a useful addition to perioperative risk management and a tool to improve 90-day mortality after hepatectomy.

Objective: Evidence is scant regarding symptom clusters and quality of life (QOL) over 1 year in women who receive adjuvant breast cancer chemotherapy (CTX). Our purpose was to identify the prevalence and severity of individual symptoms, symptom clusters, and QOL in women receiving adjuvant breast cancer CTX from baseline over 1 year. Methods: Symptoms were identified in a sample (n = 219) at three times: baseline (prior to the first adjuvant CTX treatment), 1 month after the last CTX (approximately 6 months after baseline), and 1 year after baseline. The Hospital Anxiety and Depression Scale and Symptom Experience Scale measured symptoms. The Medical Outcomes Study, Short-Form Survey, measured QOL. Exploratory factor analysis identified symptom clusters at each time and core symptoms in clusters over time. Results: The prevalence and severity of 10 symptoms decreased over time (P < 0.05). Fatigue, sleep disturbance, and pain were most prevalent; all were of mild severity. Two symptom clusters were identified at baseline and one met internal consistency reliability criteria at the later times. Core symptoms were identified. Both the physical and mental component scores of QOL improved over time (P < 0.01), but physical was below the general population norms 1 year after baseline. Conclusions: The symptom experience was dynamic, and symptom clusters changed over 1 year. Despite mild severity, core symptoms and clusters persisted over 1 year, and physical health was below the general population norms. Breast cancer survivors with persistent single and co-occurring symptoms need to be taught to manage the patterns of symptoms over time because they may not resolve by 1 year.

OBJECTIVES:The objectives of our study were to (1) illustrate a public health workforce assessment process in a medium-sized city or county health department and (2) demonstrate the insights gained by moving from the use of aggregate department-level and competency domain-level training needs results to more granular division-level and skills-level results when creating a workforce development plan.METHODS:We used a 130-question needs assessment to guide the creation of a workforce development plan for the Lincoln Lancaster County Health Department (LLCHD) in Nebraska and its 7 divisions. Using SurveyMonkey, we administered the survey to 128 (of the 129) LLCHD public health staff members in June 2015. Using a Likert scale, respondents indicated (1) the importance of the skill to their work and (2) their capacity to carry out 57 skills in 8 domains of the core competencies for public health professionals. We identified training needs as those for which the percentage of respondents who perceived moderate-to-high importance was at least 15 percentage points higher than the percentage of respondents who perceived moderate-to-high capacity.RESULTS:LLCHD as a department had training needs in only 2 competency domains: financial planning and management (importance-capacity difference, 15 percentage points) and policy development and program planning (importance-capacity difference, 19 percentage points). The Health Promotion and Outreach division had training needs in all 8 domains (importance-capacity difference range, 15-45 percentage points). Of the 57 skills, 41 were identified by at least 1 of the LLCHD divisions as having training needs. In 24 instances, a division did not qualify as having training needs in the overall domain yet did have training needs for specific skills within a domain.CONCLUSIONS:When performing public health workforce assessments, medium-to-large public health departments can obtain detailed workforce training needs results that pertain to individual skills and that are tailored to each of their divisions. These results may help customize and improve workforce development plans, ensuring that the workforce has the necessary skills to do its job.

Introduction: Women diagnosed with breast cancer (BC) are at increased risk of sleep deficiency. Approximately 30–60% of these women report poor sleep during and following surgery, chemotherapy, radiation therapy, and anti-estrogen therapy. The purpose of this study was to examine the relationship between genetic variation in circadian rhythm genes and self-reported sleep quality in women with BC. Methods: This cross-sectional study recruited women with a first diagnosis of breast cancer at five sites in Nebraska and South Dakota. Sixty women were included in the study. Twenty-six circadian genes were selected for exome sequencing using the Nextera Rapid Capture Expanded Exome kit. 414 variants had a minor allele frequency of ≥5% and were included in the exploratory analysis. The association between Pittsburgh Sleep Quality Index (PSQI) score and genetic variants was determined by two-sample t-test or ANOVA. Results: Twenty-five variants were associated with the PSQI score at p < 0.10, of which 19 were significant at p<0.05, although the associations did not reach statistical significance after adjustment for multiple comparisons. Variants associated with PSQI were from genes CSNK1D & E, SKP1, BHLHE40 & 41, NPAS2, ARNTL, MYRIP, KLHL30, TIMELESS, FBXL3, CUL1, PER1&2, RORB. Two genetic variants were synonymous or missense variants in the BHLHE40 and TIMELESS genes, respectively. Conclusions: These exploratory results demonstrate an association of genetic variants in circadian rhythm pathways with self-reported sleep in women with BC. Testing this association is warranted in a larger replication population.

Nutritional status is a well-recognized prognostic indicator in chronic obstructive pulmonary disease (COPD); however, very little is known about the relationship between lung function and saturated fat intake. We used data from the cross-sectional National Health and Nutrition Examination Surveys (NHANES) to assess the relationship between saturated fatty acid (SFA) intake and lung function in the general US adult population. Adults in NHANES (2007–2012) with pre-bronchodilator spirometry measurements and dietary SFA intake were included. Primary outcomes were lung function including forced expiratory volume in one second (FEV1), FEV1, forced vital capacity (FVC), FEV1/FVC ratio, percent predicted FEV1 and percent predicted FVC. Multivariable regression models in the general population as well as those with spirometry-defined airflow obstruction were used to assess the relationship between lung function measurements and dietary SFA intake after adjustment for confounders. 11,180 eligible participants were included in this study. Univariate analysis revealed a statistically significant positive association between total SFA intake and lung function outcomes; however, these relationships were attenuated after adjustment for covariates. A secondary analysis of individuals with spirometry-defined airflow obstruction (FEV1/FVC < 0.7) revealed that a lower intake of SFA was associated with reduced FEV1 (β = −126.4, p = 0.04 for quartile 1 vs. quartile 4), FVC (β = −165.8. p = 0.01 for quartile 1 vs. quartile 4), and percent predicted FVC (β = −3.3. p = 0.04 for quartile 1 vs. quartile 4), after adjustment for relevant confounders. No associations were observed for the FEV1/FVC ratio and percent predicted FEV1. It is possible that characteristics such as food source and fatty acid chain length may influence associations between saturated fatty acid intake and health outcomes.

Background: Evidence-based guidelines for the management of type 2 diabetes (T2D) consist of blood glucose monitoring, medication adherence, and lifestyle modifications that may particularly benefit from reminders, consultation, education, and behavioral reinforcements through remote patient monitoring (RPM). Objectives: To identify predictors of weight loss and to examine the association between weight loss and hemoglobin A1C (HbA1C) outcomes for T2D patients who were enrolled in an RPM program for diabetes management. Materials and Methods: The study applied logistic and ordinary least-squares regression models to examine the relationship between baseline characteristics and the likelihood of weight loss during the RPM, and how the magnitude of weight loss was related to changes in HbA1C outcomes for 1,103 T2D patients who went through 3 months of RPM from 2014 to 2017. Results: Older patients were 3% more likely to have weight loss (odds ratio [OR], 1.03; 95% confidence interval [CI], 1.02-1.05), whereas patients with higher baseline HbA1C had 9% reduced odds (OR, 0.91; 95% CI, 0.85-0.97) of experiencing weight loss. For every pound of weight lost, there was a 0.02-point (95% CI, 0.01-0.03) reduction on the HbA1C measured at the end of the RPM. Moreover, compared with those who had weight loss of ≤3%, participants who had lost 5-7%, or >7% of their baseline weight had a 0.37- and 0.58-point reduction in HbA1C, respectively. Conclusions: This study revealed a notable relationship between weight loss and positive HbA1C outcomes for T2D patients in an RPM-facilitated diabetes management program, which pointed to the potential of integrating evidence-based lifestyle modification programs into future telemedicine programs to improve diabetes management outcomes.