Publications

Abstract

Introduction: The aim of this research was to assess the association between inflammation and oral health and diabetes, as well as the mediating role of oral hygiene practice in this association. Methods: Data were from the 2009–2010 National Health and Nutrition Examination Survey. The analytical sample consisted of 2,191 respondents aged 50 and older. Poor oral health was clinically defined by significant tooth loss (STL) and periodontal disease (PD). Diabetes mellitus (DM) was determined by glycemic levels. The outcome variable was serum C-reactive protein (CRP) level, dichotomised as ≥1 mg/dL (elevated CRP) vs <1 mg/dL (not elevated CRP). Two path models, one using STL and DM as the independent variable, the other using PD and DM as the independent variable, were estimated to assess the direct effects of having poor oral health and DM on elevated CRP and the mediating effects of dental flossing. Results: In path model 1, individuals having both STL and DM (adjusted odds ratio [AOR], 1.92; 95% confidence interval [CI], 1.30–2.82) or having STL alone (AOR, 2.30; 95% CI, 1.68–3.15) were more likely to have elevated CRP than those with neither STL nor DM; dental flossing (AOR, 0.92, 95% CI, 0.88–0.96) was associated with lower risk of elevated CRP. In path model 2, no significant association was found between having both PD and DM and elevated CRP; dental flossing (AOR, 0.91; 95% CI:, 0.86–0.94) was associated with lower risk of elevated CRP. Conclusions: Findings from this study highlight the importance of improving oral health and oral hygiene practice to mitigate inflammation. Further research is needed to assess the longer-term effects of reducing inflammation.

Abstract

Purpose:RNs have served as the bedrock of the response to the COVID-19 pandemic, working under unprecedented and difficult conditions. In this study, we sought to understand the experiences of nurses working across a range of care settings in the United States during the first six months of the pandemic, and to learn more about barriers to and facilitators of their work.Methods:This is a qualitative descriptive study. We recruited participants online through regional professional nursing membership listservs, program directors of occupational health nursing training programs, and social media. After completing a survey, potential participants were invited to complete an individual semistructured interview via the Zoom platform. From June through August 2020, we conducted 34 interviews. Content analysis was performed using ATLAS.ti software.Results:The overarching theme - "Losing the art and failing the science of nursing" - underscored the barriers nurses faced in the early months of this pandemic. It reflected the deeply painful disruptions in the care nurses were accustomed to providing their patients. Themes that reflected barriers included disrupted nurse-patient connection, lack of personal protective equipment and fear of infection, lack of evidence-based guidance, and understaffing, all of which drastically altered the delivery of nursing care. Themes that reflected facilitators to nurses' work included camaraderie and strength and resourcefulness.Conclusions:The study findings give important direction to nurse leaders, researchers, and organizations concerning potential areas of support that nurses need during and after this pandemic. Future research should investigate the long-term impact of COVID-19 and similar public health crises on nurses, as well as interventions that could support the workforce after an extended crisis.

Abstract

Objective: To examine the prevalence of orofacial pain and associated factors in Chinese older adults at the end of life. Methods: This cross-sectional study included 1646 participants (65 years or older) in their last year of life from the Chinese Longitudinal Healthy Longevity Survey (CLHLS). We used the 6-month prevalence questions to measure two specific orofacial pain symptoms: toothache, and jaw or facial pain. Logistic regression analyses were used to examine factors, such as socioeconomic status, health behaviours and chronic diseases, that were associated with these two orofacial pain symptoms in the last year of life. Results: The 6-month prevalence estimates for toothache and jaw pain or facial pain for older adults in the last year of life were 14.1% and 4.5% respectively. Higher socioeconomic status was associated with lower odds of toothache and jaw pain or facial pain. Smoking was associated with high odds of toothache. Participants who brushed their teeth at least once a day were more likely to have toothache and jaw or facial pain than those who did not. Having any chronic conditions was associated with higher odds of toothache and jaw or facial pain. Older adults who had at least one tooth were more likely to have jaw or facial pain than those without any teeth. Conclusion: A considerable proportion of Chinese older adults in their last year of life reported toothache and/or jaw pain or facial pain. These findings suggest that appropriate measures need to be taken to address the oral health needs in these vulnerable individuals, especially those of low socioeconomic status and chronic conditions.

Abstract

The COVID-19 pandemic and public health response of the US health care system and government provided unique opportunities for nursing education as it disrupted the usual mode of operation. An honors program at a private university at the epicenter of the pandemic pivoted multiple times to avoid failing to support the capstone projects of its inaugural cohort. Collaborative outreach with mentors and instructional technologists created opportunities for virtual delivery of patient and nursing student education and program evaluation. The lessons learned became part of the roster of resources for future cohorts to sustainably design and deliver their capstone projects.

Abstract

Refining existing dietary assessment methods to reduce measurement error and facilitate the routine evaluation of dietary quality is essential to inform health policy. Notable advancements in technology in the past decade have enhanced the precision and transformation of dietary assessment methods with applications toward both population health and precision nutrition. Within population health, innovative applications of big data including use of automatically collected food purchasing data, quantitative measurement of food environments, and novel, yet simplified dietary quality metrics provide important complementary data to traditional self-report methods. Precision nutrition is similarly advancing with greater use of validated biomarkers for assessing dietary patterns and understanding individual variability in metabolism. Concurrently enhancing our understanding of diet-disease relations at the population health and precision nutrition levels provides tremendous potential to generate evidence needed to advance public health nutrition policy. This commentary highlights the importance of these advances toward progressing the field of dietary assessment and discusses the application of food purchasing data, data analytics, alternative dietary quality metrics, and -omics technology in population and clinical medicine.

Abstract

PURPOSE:The recruitment of underserved patients into therapeutic oncology trials is imperative. The National Institutes of Health mandates the inclusion of minorities in clinical research, although their participation remains under-represented. Institutions have used data mining to match patients to clinical trials. In a public health care system, such expensive tools are unavailable.METHODS:The NYU Clinical Trials Office implemented a quality improvement program at Bellevue Hospital Cancer Center to increase therapeutic trial enrollment. Patients are screened through the electronic medical record, tumor board conferences, and the cancer registry. Our analysis evaluated two variables: number of patients identified and those enrolled into clinical trials.RESULTS:Two years before the program, there were 31 patients enrolled. For a period of 24 months (July 2017 to July 2019), we identified 255 patients, of whom 143 (56.1%) were enrolled. Of those enrolled, 121 (84.6%) received treatment, and 22 (15%) were screen failures. Fifty-five (38.5%) were referred to NYU Perlmutter Cancer Center for therapy. Of the total enrollees, 64% were female, 56% were non-White, and overall median age was 55 years (range: 33-88 years). Our participants spoke 16 different languages, and 57% were non-English-speaking. We enrolled patients into eight different disease categories, with 38% recruited to breast cancer trials. Eighty-three percent of our patients reside in low-income areas, with 62% in both low-income and Health Professional Shortage Areas.CONCLUSION:Prescreening at Bellevue has led to a 4.6-fold increase in patient enrollment to clinical trials. Future research into using prescreening programs at public institutions may improve access to clinical trials for underserved populations.

Abstract

Objectives: To understand dementia care providers’ perspectives on high-quality care for persons living with dementia (PLWD) in long-term care (LTC). Design: A qualitative study using a directed content analysis approach. Setting and Participants: Nine national LTC dementia care providers. Methods: We facilitated 5 listening sessions centered around dementia care philosophies, models, and practices. Two researchers first mapped qualitative data to the Holistic Approach to Transformational Change (HATCh) model for dementia care using a directed content analysis approach. They then identified themes and subthemes emerging from the data using a conventional analysis approach. They coded data iteratively and solicited input from 3 additional researchers to reach consensus where needed. Member checks were performed to ensure the trustworthiness of the data during 2 follow-up listening sessions. Results: The 9 participants described the importance of understanding the experiences of PLWDs in order to provide high-quality dementia care and to deliver such care with the residents and their preferences as the focus. They emphasized experiential education as essential for families and all staff, regardless of role. They noted the need to balance safety with resident choice, as well as the corresponding need for facility leadership and regulators to support such choices. The listening sessions revealed areas to foster person-centered care for PLWD, but also highlighted barriers to implementing this philosophy in LTC settings. Conclusions and Implications: Emergent themes included care practices that center on resident preferences and are supported by staff with the experiential education and communication skills necessary to relate to and support PLWD. These findings provide contextual information for researchers seeking to identify and test interventions that reflect LTC providers’ priorities for PLWD and emphasize the need to align research priorities with provider priorities.

Abstract

Background: Dementia is a global public health priority due to rapid growth of the aging population. As China has the world’s largest population with dementia, this debilitating disease has created tremendous challenges for older adults, family caregivers, and health care systems on the mainland nationwide. However, public awareness and knowledge of the disease remain limited in Chinese society. Objective: This study examines online public discourse and sentiment toward dementia among the Chinese public on a leading Chinese social media platform Weibo. Specifically, this study aims to (1) assess and examine public discourse and sentiment toward dementia among the Chinese public, (2) determine the extent to which dementia-related discourse and sentiment vary among different user groups (ie, government, journalists/news media, scientists/experts, and the general public), and (3) characterize temporal trends in public discourse and sentiment toward dementia among different user groups in China over the past decade. Methods: In total, 983,039 original dementia-related posts published by 347,599 unique users between 2010 and 2021, together with their user information, were analyzed. Machine learning analytical techniques, including topic modeling, sentiment analysis, and semantic network analyses, were used to identify salient themes/topics and their variations across different user groups (ie, government, journalists/news media, scientists/experts, and the general public). Results: Topic modeling results revealed that symptoms, prevention, and social support are the most prevalent dementia-related themes on Weibo. Posts about dementia policy/advocacy have been increasing in volume since 2018. Raising awareness is the least discussed topic over time. Sentiment analysis indicated that Weibo users generally attach negative attitudes/emotions to dementia, with the general public holding a more negative attitude than other user groups. Conclusions: Overall, dementia has received greater public attention on social media since 2018. In particular, discussions related to dementia advocacy and policy are gaining momentum in China. However, disparaging language is still used to describe dementia in China; therefore, a nationwide initiative is needed to alter the public discourse on dementia. The results contribute to previous research by providing a macrolevel understanding of the Chinese public’s discourse and attitudes toward dementia, which is essential for building national education and policy initiatives to create a dementia-friendly society. Our findings indicate that dementia is associated with negative sentiments, and symptoms and prevention dominate public discourse.