Publications

Abstract

Background: Given the importance of self-management in type 2 diabetes mellitus (T2DM), a major aspect of health is providing diabetes self-management education and support. Known barriers include access, availability, and the lack of follow through on referral to education programs. Virtual education and support have increased in use over the last few years. Objective: The purpose of the Diabetes Learning in a Virtual Environment (LIVE) study was to compare the effects of the LIVE intervention (educational 3D world) to a diabetes self-management education and support control website on diet and physical activity behaviors and behavioral and metabolic outcomes in adults with T2DM over 12 months. Methods: The LIVE study was a 52-week multisite randomized controlled trial with longitudinal repeated measures. Participants were randomized to LIVE (n=102) or a control website (n=109). Both contained the same educational materials, but the virtual environment was synchronous and interactive, whereas the control was a flat website. Data were collected at baseline and 3, 6, and 12 months using surveys and clinical, laboratory, and Fitbit measures. Descriptive statistics included baseline characteristics and demographics. The effects of the intervention were initially examined by comparing the means and SDs of the outcomes across the 4 time points between study arms, followed by multilevel modeling on trajectories of the outcomes over the 12 months. Results: This trial included 211 participants who consented. The mean age was 58.85 (SD 10.1) years, and a majority were White (127/211, 60.2%), non-Hispanic (198/211, 93.8%), married (107/190, 56.3%), and female (125/211, 59.2%). Mean hemoglobin A1c (HbA1c) level at baseline was 7.64% (SD 1.79%) and mean BMI was 33.51 (SD 7.25). We examined weight loss status versus randomized group, where data with no weight change were eliminated, and the LIVE group experienced significantly more weight loss than the control group (P=.04). There were no significant differences between groups in changes in physical activity and dietary outcomes (all P>.05), but each group showed an increase in physical activity. Both groups experienced a decrease in mean HbA1c level, systolic and diastolic blood pressure, cholesterol, and triglycerides over the course of 12 months of study participation, including those participants whose baseline HbA1c level was 8.6% or higher. Conclusions: This study confirmed that there were minor positive changes on glycemic targets in both groups over the 12-month study period; however, the majority of the participants began with optimal HbA1c levels. We did find clinically relevant metabolic changes in those who began with an HbA1c level >8.6% in both groups. This study provided a variety of resources to our participants in both study groups, and we conclude that a toolkit with a variety of services would be helpful to improving self-care in the future for persons with T2DM.

Abstract

This chapter reviews the most recent data in lifestyle medicine that have major implications in positive psychology, describes how advances in lifestyle medicine have furthered our understanding of evidence-based literature in positive psychology, reports new breakthroughs in lifestyle medicine, and identifies how this data and connection to positive psychology can be applied to patient care. Lifestyle medicine utilizes comprehensive, evidence-based, patient-centered lifestyle interventions as a primary modality to prevent, treat, and reverse chronic conditions. Data on the implications of lifestyle medicine in overall health and wellbeing is expanding. Lifestyle medicine approaches can achieve numerous healthcare goals, such as enhancing physical benefits; improving quality of life; promoting mental/brain health and treating mental illness; maintaining positive, satisfying, and effective interactions between patients and providers; encouraging unconscious motivation for health-promoting changes in behavior; and enriching overall patient wellbeing. Lifestyle medicine approaches comply with existing positive psychology frameworks for flourishing, such as PERMA. Those who adhere to three to six pillars of lifestyle medicine are more likely to flourish. Clinical applications of lifestyle medicine that promote flourishing include patient-provider interactions, health assessments, health coaching, and appropriate use of internal and external patient resources. Lifestyle medicine and positive psychology reinforce each other via the bidirectional relationship between health-promoting behaviors and overall wellbeing.

Abstract

Lifestyle medicine is a practice which adopts evidence-based lifestyle interventions as a primary modality to prevent, treat, and reverse chronic diseases. The six main pillars of this specialty include physical activity, nutrition, stress resilience, cessation or risk reduction of substance use, quality sleep, and connectivity. Lifestyle Psychiatry: Through the Lens of Behavioral Medicine is grounded in the same pillars, drawing upon theories, methods, and empirical findings from health psychology and behavioral medicine. Lifestyle psychiatry is a rapidly emerging area within healthcare informed by rigorous research within the social and biological sciences, public health, and medicine. A volume in the Lifestyle Medicine series, this book uses a comprehensive biopsychosocial approach to prevent and treat psychiatric disorders and promote mental and physical well-being through evidence-based lifestyle interventions. Features: Draws upon theories, methods, and empirical findings from health psychology and behavioral medicine. Provides evidence-based research on the bi-directionality of mental and physical health. Addresses fundamental neuroscience concepts and applies them to practical aspects of lifestyle practices, mental health, and brain health. Appropriate for clinicians, primary care physicians, and those practicing in specialized areas, the information in this book provides users with practical tools to help explain, prevent, and treat psychiatric disorders and associated maladaptive health behaviors in patients.

Abstract

Aim: Establish linkages between components of the Self- and Family Management Framework and outcomes of the Nursing Outcomes Classification to evaluate the comprehensiveness of outcomes addressing self- and family management in the Nursing Outcomes Classification. Design: Descriptive study. Methods: Experts conducted a six-step process to establish linkages: (1) preliminary mapping of all relevant nursing outcomes to the framework; (2) development of checklists for team members serving as ‘identifiers’ and ‘reviewers’; (3) mapping all relevant nursing outcomes to the framework; (4) final agreement on mapped outcomes; (5) establishment of inter-rater reliability; and (6) discussion of findings with authors of the Self- and Family Management Framework. Results: Three hundred and sixty-three nursing outcomes were identified as related to the management of chronic disease across all components of the framework: outcomes related to patient self-management (n = 336), family functioning (n = 16) and family caregivers (n = 11). Conclusion: The Nursing Outcomes Classification outcomes comprehensively address self-management, and, less so, family functioning, and caregivers. Implications: Established linkages can be used by nurses to track and support patient and family management outcomes across the care continuum. Patient or public contribution: Linking standardized nursing outcomes to the Self- and Family Management Framework can assist in goal setting and measurement of nursing care during chronic disease management. This work can help describe to funders, policy makers and others invested in health care reform the specific contributions of nurses to self- and family management of chronic disease. Impact: This paper demonstrates the linkages between components of the Self- and Family Management Framework and Nursing Outcomes Classification outcomes. The results of this study offer the opportunity to quantify the impact of nursing care and enhance nursing practice for patients with chronic conditions as well as contribute to developing Nursing Outcomes Classification outcomes that consider self-management processes.

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Objective This study aimed to explore the association of nurses' perceptions of patient safety climate with missed nursing care in labor and delivery (L&D) units. Methods We recruited nurse respondents via email distribution of an electronic survey between February 2018 and July 2019. Hospitals with L&D units were recruited from states with projected availability of 2018 state inpatient data in the United States. Measures included the Safety Attitudes Questionnaire Safety Climate Subscale and the Perinatal Missed Care Survey. We estimated the relationship between safety climate and missed care using Kruskal-Wallis tests and mixed-effects linear regression. Results The analytic sample included 3429 L&D registered nurses from 253 hospitals (response rate, 35%). A majority of respondents (65.7%) reported a perception of good safety climate in their units, with a mean score of 4.12 (±0.73) out of 5. The mean number of aspects of care occasionally, frequently, or always missed on respondents' units was 11.04 (±6.99) out of 25. χ2 Tests showed that six mostly commonly missed aspects of care (e.g., timely documentation) and three reasons for missed care (communications, material resources, and labor resources) were associated with safety climate groups (P < 0.001). The adjusted mixed-effects model identified a significant association between better nurse-perceived safety climate and less missed care (β = -2.65; 95% confidence interval, -2.97 to -2.34; P < 0.001) after controlling for years of experience and highest nursing education. Conclusions Our findings suggest that improving safety climate - for example, through better teamwork and communication - may improve nursing care quality during labor and birth through decreasing missed nursing care. Conversely, it is also possible that strategies to reduce missed care - such as staffing improvements - may improve safety climate.

Abstract

Background: The self-identity of persons with young-onset dementia (YOD) is affected by the disease progression. However, the lived experience of maintaining self-identity along the disease trajectory is understudied. This meta-synthesis integrated qualitative data on the challenges, coping strategies, and needs of persons living with YOD and how their experiences affected their self-identity over time. Methods: Four English (PubMed, Scopus, CINAHL, PsycINFO) and two Chinese (CNKI and Wanfang) electronic databases were searched for published literature peer-reviewed from the time of database inception to 2022. We used thematic analysis to extract and synthesize data from the literature concerning the long-term lived experiences of persons living with YOD. Results: A total of five peer-reviewed publications were eligible for inclusion in this meta-synthesis study. We identified four themes: (1) declining cognitive function and a prolonged diagnostic process threaten the self-identity of persons living with YOD, (2) struggling to accept the diagnosis of YOD and maintain self-identity, (3) maintaining self-identity and the normalcy of life through social support and person-centered care, and (4) living with YOD through self-development and self-identity reshaping at a later stage of the disease. Conclusions: Persons living with YOD experience challenges maintaining their self-identity throughout the disease trajectory. These challenges are affected by their cognitive function, experiences of personal and social stigma associated with the disease, perceived social support, and person-centered care. Study findings have implications for developing tailored supportive programs for persons living with YOD at various stages of the disease trajectory.

Abstract

Transforming research into practice via implementation science may improve institution-wide implementation success rates for lifestyle medicine (LM). Implementation science (IS) is the study of methods that facilitate the uptake of evidence-based practice and research into regular use by practitioners and policymakers. Multiple IS frameworks, such as the Reach, Effectiveness, Adoption, Implementation, Maintenance/Practical Robust Implementation Strategy Model (RE-AIM/PRISM) model, Exploration, Preparation, Implementation, Sustainment (EPIS) model, and Consolidated Framework for Implementation Research (CFIR) model, have been developed. IS frameworks provide a strong yet adaptable foundation for launching initiatives, minimizing barriers by challenging implementers to identify and address problems that impede implementation, and promoting long-term sustainability and positive outcomes. The trouble-shooting tips provided in this article are strategically aligned with the RE-AIM/PRISM model of IS to maximize the likelihood of implementation success within the LM space. These tips provide guidance on how to effectively implement interventions, sustain their delivery, and avoid or overcome barriers to implementation. This article presents 12 tips intended as a list of options to facilitate the implementation phases of an initiative, as opposed to offering an all-or-nothing approach to implementation strategy. Current IS priorities emphasize system change and sustainability, which are essential components of successful implementation of LM initiatives.

Abstract

Introduction: The aim of this study was to explore the associations among physical activity (PA), inflammatory markers, and quality of life (QoL) from preradiotherapy to 1-year postradiotherapy for patients with head and neck cancer (HNC). Methods: This was an observational longitudinal study. Mixed-effect models incorporating within-subject correlation were used to examine the relationship among the three key variables. Results: Aerobically active patients had significantly lower levels of sTNFR2 (but not other inflammatory markers) than aerobically inactive patients. Being aerobically active and lower inflammation were independently associated with better total QoL scores after adjusting covariates. The trend was similar for patients engaged in strength exercises. Conclusions: Being aerobically active was associated with lower inflammation as represented by sTNFR2 but not with other inflammatory markers. Higher PA (aerobic and strength) and lower inflammation were linked to better QoL. More research is warranted to validate the association among PA, inflammation, and QoL.

Abstract

Background: We aimed to explore whether social relationships and cognitive function were reciprocally related and whether healthy lifestyles mediate their association. Methods: This study included 3372 Chinese adults from the years 2014–2018 wave of the Chinese Longitudinal Healthy Longevity Survey. Results: Baseline social relationships were negatively associated with a change in cognitive function (β = –0.030, p = 0.043). Participants with a 1 standard deviation (SD) increase in social relationships had an approximately 6% reduced risk of developing cognitive impairment. However, baseline cognitive function did not independently predict social relationships. The association between △social relationships and △cognitive function was partially mediated by △a healthy lifestyle (B = 0.025, 95% CI = 0.013–0.041). Conclusions: The association between social relationships and cognitive function may be unidirectional. Policies that promote cognitive function based on social relationships would benefit by taking into account lifestyle factors.

Abstract

Objectives: To develop symptom networks and examine the longitudinal relationships of depressive symptoms among middle-aged and older adults in China. Method: This study used three-wave data from the China Health and Retirement Longitudinal Study (2013 (T1), 2015 (T2), and 2018 (T3)). Depressive symptoms were measured by the 10-item Center for Epidemiologic Studies Depression Scale (CES-D). A multilevel vector autoregression model (VAR) was used to identify ten depressive symptoms dynamically interacting with each other over time. Results: A total of 3,558 participants were included in the final analysis. The strongest direct effects were ‘D10: felt fearful’ -> ‘D6: felt everything I did was an effort’ (β = 0.14). ‘D10: felt fearful’ reported the largest value of out-predictability (r = 0.064) and out-strength (r = 0.635). ‘D3: felt depressed’ reported the largest value of in-predictability (r = 0.077) and in-strength (r = 0.545). Substantial heterogeneity in the network may stem from an individual’s sex and place of residence. Conclusions: ‘Felt fearful’ was the strongest predictor compared to the other nine depressive symptoms based on node centrality. Our study suggests that, after understanding the causes of fear, strategies to reduce fear should be incorporated into multimodal interventions for middle-aged and older adults with depressive symptoms.

Abstract

Background: Pregnancy-related mortality in the United States is the greatest among all high-income countries, and Georgia has one of the highest maternal mortality rates—almost twice the national rate. Furthermore, inequities exist in rates of pregnancy-related deaths. In Georgia, non-Hispanic Black women are nearly 3 times more likely to die from pregnancy-related complications than non-Hispanic White women. Unlike health equity, a clear definition of maternal health equity is lacking, overall and in Georgia specifically, but is needed to reach consensus and align stakeholders for action. Therefore, we used a modified Delphi method to define maternal health equity in Georgia and to determine research priorities based on gaps in understanding of maternal health in Georgia. Methods: Thirteen expert members of the Georgia Maternal Health Research for Action Steering Committee (GMHRA-SC) participated in an iterative, consensus-driven, modified Delphi study comprised of 3 rounds of anonymous surveys. In round 1 (web-based survey), experts generated open-ended concepts of maternal health equity and listed research priorities. In rounds 2 (web-based meeting) and 3 (web-based survey), the definition and research priorities suggested during round 1 were categorized into concepts for ranking based on relevance, importance, and feasibility. Final concepts were subjected to a conventional content analysis to identify general themes. Results: The consensus definition of maternal health equity created after undergoing the Delphi method is: maternal health equity is the ultimate goal and ongoing process of ensuring optimal perinatal experiences and outcomes for everyone as the result of practices and policies free of interpersonal or structural bias that tackle current and historical injustices, including social, structural, and political determinants of health impacting the perinatal period and life course. This definition highlights addressing the current and historical injustices manifested in the social determinants of health, and the structural and political structures that impact the perinatal experience. Conclusion: The maternal health equity definition and identified research priorities will guide the GMHRA-SC and the broader maternal health community for research, practice, and advocacy in Georgia.

Abstract

Diversification of the midwifery workforce is key to addressing disparities in maternal health in the United States. Midwives who feel supported in their practice environments report less burnout and turnover; therefore, creating positive practice environments for midwives of color is an essential component of growing and retaining midwives of color in the workforce. The Midwifery Practice Climate Scale (MPCS) is a 10-item instrument developed through multiphase empirical analysis to measure midwives' practice environments, yet the MPCS had not been independently tested with midwives of color. We conducted invariance analyses to test whether latent means can be compared between midwives of color and non-Hispanic White samples. A step-up approach applied a series of increasingly stringent constraints to model estimations with multiple group confirmatory factor analyses with two pooled samples. A configural model was estimated as the basis of multiple group comparisons where all parameters were allowed to freely vary. Metric invariance was estimated by constraining item factor loadings to be equal. Scalar invariance was estimated by constraining intercepts of indicators to be equal. Each model was compared to the baseline model. The findings supported scalar invariance of MPCS across midwives of color and non-Hispanic White midwives, indicating that the MPCS is measuring the same intended construct across groups, and that differences in scores between these two groups reflect true group differences and are not related to measurement error. Additionally, in this sample, there was no statistically significant difference in perceptions of the practice environments across midwives of color and non-Hispanic White midwives (p > 0.05).

Abstract

OBJECTIVE: To investigate how cognitive function domains change in phenotypic networks in cognitive deterioration and improvement groups.DESIGN: Secondary data analysis.SETTING AND PARTICIPANTS: Respondents in the Aging, Demographics, and Memory Study (ADAMS) who were 70 years or older at the time of the data collection in 2000 or 2002.METHODS: This study used data from the ADAMS in Wave A and Wave B. We assessed 12 cognitive function domains. Latent profile transition analysis (LPTA) and the cross-lagged panel network model were used to the dynamic interactions of the 12 cognitive function domains over time in both the deterioration and improvement groups.RESULTS: A total of 252 participants were included in the final analysis. LPTA identified 5 subgroups and categorized all samples into 3 main categories: improvement group (n = 61), deterioration group (n = 54), and no change group (n = 137). "D9: psychomotor processing" showed the largest value of out-strength in the deterioration group (r = 0.941) and improvement group (r = 0.969). The strongest direct positive effect in the deterioration group was "C9: psychomotor processing" -> "C8: attention" (β = 0.39 [0.00, 1.13]). In the improvement group, the strongest direct positive effect was "C9 = psychomotor processing" -> "C7 = visual memory" (β = 0.69 [0.07, 1.30]).CONCLUSION AND IMPLICATIONS: Psychomotor processing affected other cognitive domains, and it played a crucial role in changes of cognitive function. The paths of psychomotor processing to attention and visual memory were found to be major factors in cognitive deterioration and improvement. Targeting psychomotor processing may lead to the development of more effective and precise interventions.

Abstract

Nurses Improving Care for Healthsystem Elders (NICHE), a program of NYU Rory Meyers College of Nursing, is a national quality and safety program that enhances clinical nursing in the care of older adults. Hospitals, long-term care, and hospice organizations adopt the NICHE practice model to advance professional practice, improve quality of care, and expand capacity to meet the growing demand for age-friendly care. In this month's column, I highlight three clinical improvement projects that were developed during the NICHE Leadership Training Program. These projects represent the range of nurse-led services and clinical interventions that are the foundation of the NICHE philosophy and practice model.

Abstract

Background: Chinese people experienced a nationwide coronavirus disease 2019 (COVID-19) pandemic after the adjustment of epidemic response policies from December 2022 to January 2023. This study aims to explore the prevalence of mental and cognitive symptoms and their associated factors among medical students after the COVID-19 pandemic. Methods: A cross-sectional study was conducted between February 27th and March 8th, 2023. The symptoms of anxiety, depression, insomnia, post-traumatic stress disorder (PTSD), and cognitive function among medical students were examined using the Generalized Anxiety Disorder-7 (GAD-7), the Patient Health Questionnaire-9 (PHQ-9), the Athens Insomnia Scale (AIS), the Impact of Event Scale-6 (IES-6), and the Perceived Deficits Questionnaire-Depression-5 (PDQ-D-5). Data on demographic information was also collected. Statistical analyses were conducted to describe the prevalence and explore the associated factors of mental and cognitive symptoms. Results: Among 947 participants, the proportion of students experiencing anxiety, depression, insomnia, and PTSD symptoms was 37.8, 39.3, 28.3, and 29.5%, respectively. The self-reported COVID-19 infection rate was 72.2%. Higher grades, childhood, and current rural residence were identified as potential risk factors for mental and cognitive symptoms. Gender, age, average monthly household income, and COVID-19 diagnosis were not associated with mental and cognitive symptoms among medical students. Conclusion: Our findings revealed a high prevalence of mental and cognitive symptoms among Chinese medical students after the COVID-19 pandemic. Special attention should be paid to the mental health of higher-grade students and those residing in rural areas.

Abstract

Aims/Hypothesis: Our prior analysis of the Diabetes Prevention Program study identified a subset of five miRNAs that predict incident type 2 diabetes. The purpose of this study was to identify mRNAs and biological pathways targeted by these five miRNAs to elucidate potential mechanisms of risk and responses to the tested interventions. Methods: Using experimentally validated data from miRTarBase version 8.0 and R (2021), we identified mRNAs with strong evidence to be regulated by individual or combinations of the five predictor miRNAs. Overrepresentation of the mRNA targets was assessed in pathways from the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway annotation database. Results: The five miRNAs targeted 167 pathways and 122 mRNAs. Nine of the pathways have known associations with type 2 diabetes: Insulin signaling, Insulin resistance, Diabetic cardiomyopathy, Type 2 diabetes, AGE-RAGE signaling in diabetic complications, HIF-1 signaling, TGF-beta signaling, PI3K/Akt signaling, and Adipocytokine signaling pathways. Vascular endothelial growth factor A (VEGFA) has prior genetic associations with risk for type 2 diabetes and was the most commonly targeted mRNA for this set of miRNAs. Conclusions/Interpretation: These findings show that miRNA predictors of incident type 2 diabetes target mRNAs and pathways known to underlie risk for type 2 diabetes. Future studies should evaluate miRNAs as potential therapeutic targets for preventing and treating type 2 diabetes.

Abstract

Context: MicroRNAs (miRs) are short (ie, 18-26 nucleotide) regulatory elements of messenger RNA translation to amino acids. Objective: The purpose of this study was to assess whether miRs are predictive of incident type 2 diabetes (T2D) in the Diabetes Prevention Program (DPP) trial. Methods: This was a secondary analysis (n = 1000) of a subset of the DPP cohort that leveraged banked biospecimens to measure miRs. We used random survival forest and Lasso methods to identify the optimal miR predictors and the Cox proportional hazards to model time to T2D overall and within intervention arms. Results: We identified 5 miRs (miR-144, miR-186, miR-203a, miR-205, miR-206) that constituted the optimal predictors of incident T2D after adjustment for covariates (hazard ratio [HR] 2.81, 95% CI 2.05, 3.87; P < .001). Predictive risk scores following cross-validation showed the HR for the highest quartile risk group compared with the lowest quartile risk group was 5.91 (95% CI 2.02, 17.3; P < .001). There was significant interaction between the intensive lifestyle (HR 3.60, 95% CI 2.50, 5.18; P < .001) and the metformin (HR 2.72; 95% CI 1.47, 5.00; P = .001) groups compared with placebo. Of the 5 miRs identified, 1 targets a gene with prior known associations with risk for T2D. Conclusion: We identified 5 miRs that are optimal predictors of incident T2D in the DPP cohort. Future directions include validation of this finding in an independent sample in order to determine whether this risk score may have potential clinical utility for risk stratification of individuals with prediabetes, and functional analysis of the potential genes and pathways targeted by the miRs that were included in the risk score.

Abstract

The intrapartum period is a crucial time in the continuum of pregnancy and parenting. Events during this time are shaped by individuals’ unique sociocultural and health characteristics and by their healthcare providers, practice protocols, and the physical environment in which care is delivered. Childbearing people in the United States have less opportunity for midwifery care than in other high-income countries. In the United States, there are 4 midwives for every 1000 live births, whereas, in most other high-income countries, there are between 30 and 70 midwives. Furthermore, these countries have lower maternal and neonatal mortality rates and have consistently lower costs of care. National and international evidences consistently report that births attended by midwives have fewer interventions, cesarean deliveries, preterm births, inductions of labor, and more vaginal births after cesarean delivery. In addition, midwifery care is consistently associated with respectful care and high patient satisfaction. Midwife-physician collaboration exists along a continuum, including births attended independently by midwives, births managed in consultation with a physician, and births attended primarily by a physician with a midwife acting as consultant on the normal aspects of care. This expert review defined midwifery care and provided an overview of midwifery in the United States with an emphasis on the intrapartum setting. Health outcomes associated with midwifery care, specific models of intrapartum care, and workforce issues have been presented within national and international contexts. Recommendations that align with the integration of midwifery have been suggested to improve national outcomes and reduce pregnancy-related disparities.

Abstract

Introduction: Integrated transcriptome and microRNA differential gene expression (DEG) analyses may help to explain type 2 diabetes (T2D) pathogenesis in at-risk populations. The purpose of this study was to characterize DEG in banked biospecimens from underactive adult participants who responded to a randomized clinical trial measuring the effects of lifestyle interventions on T2D risk factors. DEGs were further examined within the context of annotated biological pathways. Methods: Participants (n = 52) in a previously completed clinical trial that assessed a 12-week behavioural intervention for T2D risk reduction were included. Participants who showed >6mg/dL decrease in fasting blood glucose were identified as responders. Gene expression was measured by RNASeq, and overrepresentation analysis within KEGG pathways and weighted gene correlation network analysis (WGCNA) were performed. Results: No genes remained significantly differentially expressed after correction for multiple comparisons. One module derived by WGCNA related to body mass index was identified, which contained genes located in KEGG pathways related to known mechanisms underlying risk for T2D as well as pathways related to neurodegeneration and protein misfolding. A network analysis showed indirect connections between genes in this module and islet amyloid polypeptide (IAPP), which has previously been hypothesized as a mechanism for T2D. Discussion: We validated prior studies that showed pathways related to metabolism, inflammation/immunity, and endocrine/hormone function are related to risk for T2D. We identified evidence for new potential mechanisms that include protein misfolding. Additional studies are needed to determine whether these are potential therapeutic targets to decrease risk for T2D.

Abstract

The objective of this study was to characterize multiple chronic conditions (MCCs) among seriously ill adults receiving palliative care at the end of life. A latent class analysis was conducted to identify latent subgroups of seriously ill older adults based on a baseline Charlson comorbidity index (CCI) measurement, a measure of comorbidity burden, and mortality risk. The three latent subgroups were: (1) low to moderate CCI with MCC, (2) high CCI with MCC, and (3) high CCI and metastatic cancer. The “low to moderate CCI and MCC” subgroup included older adults with chronic obstructive pulmonary disease (COPD), cardiovascular disease, congestive heart failure, myocardial infarction, dementia, diabetes, and lymphoma. A “high CCI and MCC” subgroup included individuals with severe illness including liver or renal disease among other MCCs. A “high CCI and metastatic cancer” included all participants with metastatic cancer. This study sheds light on the MCC profile of seriously ill adults receiving palliative care.