Transgender and Gender Diverse People's Fear of Seeking and Receiving Care in Later Life: A Multiple Method Analysis.

The purpose of the current research is to understand concerns about receiving care in a sample of transgender, gender nonbinary, and gender diverse (TGD) adults across the lifespan. A total of 829 participants, predominantly from the United States and Canada, aged 18-70, completed the (TMLS) section on caregiving and are included in this study. We found middle-aged adults, people of Color, and people living with a disability reported the highest level of concern for their ability to function independently because of financial resources, physical concerns, cognitive impairment, or a lack of someone to care for them.

Transgender and gender non-conforming adult preparedness for aging: Concerns for aging, and familiarity with and engagement in planning behaviors.

Research on transgender and gender-nonconforming (TGNC) aging is limited. To date, most of the literature about TGNC aging has focused on discrimination (particularly in healthcare), violence and abuse, caregiving and family relations, and religiosity. The purposes of this study were to: (a) document concerns about aging among TGNC adults, including concerns that are identity-specific; (b) examine preparation for aging and end of life (i.

Mechanics of population aging and survival.

In this paper we extend the previous work of Witten and her team on defining a classical physics-driven model of survival in aging populations (Eakin, Bull Math Biol 56(6):1121-1141, 1994; Eakin and Witten, Mech Aging Dev 78(2):85-101, 1995; Witten and Eakin, Exp Gerontol 32(2):259-285, 1997) by revisiting the concept of a force of aging and introducing the concepts of a momentum of aging, a kinetic energy and a potential energy of an aging population. We further extend the analysis beyond the deterministic Newtonian mechanics of a macroscopic population as a whole by considering the probabilistic nature of survival of individual population cohort members, thus producing new statistical physics-based concepts of entropy and of a gerontological "temperature". These new concepts are then illustrated with application to the classic parametric Gompertz survival model, which is a commonly used empirical descriptor for survival dynamics of mammalian species, human populations in particular.

Impact of Anticipated Bias from Healthcare Professionals on Perceived Successful Aging Among Transgender and Gender Nonconforming Older Adults.

Purpose: Transgender and gender nonconforming (TGNC) persons have routinely experienced high rates of violence and discrimination. Discrimination in healthcare can affect the ability of TGNC persons to age successfully as it often deters them from seeking care. The purpose of this study was to determine if anticipation of bias from healthcare professionals, as well as other variables, predicted perceived successful aging in a sample of TGNC adults.

Providing Competent and Affirming Services for Transgender and Gender Nonconforming Older Adults.

Despite the growing visibility and acceptance of transgender and gender nonconforming (TGNC) individuals, TGNC older adults experience many barriers in accessing competent and affirming health and social services due to anti-TGNC prejudice, discrimination, and lack of competent healthcare training on the part of healthcare workers. Clinical gerontologists and geriatricians will likely encounter TGNC adults in their practice given population aging and greater numbers of TGNC people who are living in their affirmed gender identities. The American Psychological Association recently published its Guidelines for Psychological Practice with Transgender and Gender Nonconforming People, which document the unique needs of TGNC individuals and outlines approaches for competent and affirming service provision (APA, 2015).

Modeling drug resistance in a conjoint normal-tumor setting.

Background: In this paper, we modify our previously developed conjoint tumor-normal cell model in order to make a distinction between tumor cells that are responsive to chemotherapy and those that may show resistance.

Results: Using this newly developed core model, the evolution of three cell types: normal, tumor, and drug-resistant tumor cells, is studied through a series of numerical simulations. In addition, we illustrate critical factors that cause different dynamical patterns for normal and tumor cells.

Elder transgender lesbians: exploring the intersection of age, lesbian sexual identity, and transgender identity.

This study is the first to examine the experiences and needs of an international sample of current, English-speaking, lesbian, transgender-identified (trans-lesbian) adults around a number of later life and end-of-life perceptions, preparations, and concerns. I analyzed a subset (n = 276) of the cross-sectional data collected from the online Trans MetLife Survey on Later-Life Preparedness and Perceptions in Transgender-Identified Individuals (N = 1,963). I assessed perceptions and fears around aging, preparation for later life, and end-of-life as well as numerous demographic and psycho-social variables.

Applications to aging networks.

This chapter will introduce a few additional network concepts, and then it will focus on the application of the material in the previous chapter to the study of systems biology of aging. In particular, we will examine how the material can be used to study aging networks in two sample species: Caenorhabditis elegans and Saccharomyces cerevisiae.

Introduction to the theory of aging networks.

This chapter will briefly address the history of systems biology and complexity theory and its use in understanding the dynamics of aging at the 'omic' level of biological organization. Using the idea of treating a biological organism like a network, we will examine how network mathematics, particularly graph theory, can provide deeper insight and can even predict potential genes and proteins that are related to the control of organismal life span. We will begin with a review of the history of network analysis at the cellular level and follow that by an introduction to the various commonly used network analysis variables.

End of life, chronic illness, and trans-identities.

In this study, the experiences and needs of a sample of 1,963 current, global, English-speaking, transgender-identified adults responding to the Transgender MetLife Survey (TMLS) as related to a number of later-life and end-of-life (EOL) preparations and concerns were examined. EOL concerns are integrated with concerns and challenges around chronic illness and disability. Overall, this population was significantly ill-prepared for the major legalities and events that occur in the later to EOL time periods.

It's Not All Darkness: Robustness, Resilience, and Successful Transgender Aging.

We review the recent psychosocial literature on transgender aging. We also report relevant in-press results from the Trans MetLife Survey on Later-Life Preparedness and Perceptions in Transgender-Identified Individuals (TMLS) on end-of-life and later-life trans-aging. To obtain relevant literature, we employed the search engines Google Scholar, Stanford Highwire, and PubMed/Medline.

A biomechanical model of wound contraction and scar formation.

We propose a biomechanical model for investigating wound contraction mechanism and resulting scarring. Extracellular matrix is modeled as fiber-reinforced anisotropic soft tissue, with its elastic properties dynamically changing with the density and orientation of collagen fibers. Collagen fibers are deposited by fibroblasts infiltrating the wound space, and are dynamically aligned with both migrating fibroblasts and tissue residing tension field.

Modeling the effects of a simple immune system and immunodeficiency on the dynamics of conjointly growing tumor and normal cells.

In this paper, we develop a theoretical contribution towards the understanding of the complex behavior of conjoint tumor-normal cell growth under the influence of immuno-chemotherapeutic agents under simple immune system response. In particular, we consider a core model for the interaction of tumor cells with the surrounding normal cells. We then add the effects of a simple immune system, and both immune-suppression factors and immuno-chemotherapeutic agents as well.

Chemotherapy in conjoint aging-tumor systems: some simple models for addressing coupled aging-cancer dynamics.

Background: In this paper we consider two approaches to examining the complex dynamics of conjoint aging-cancer cellular systems undergoing chemotherapeutic intervention. In particular, we focus on the effect of cells growing conjointly in a culture plate as a precursor to considering the larger multi-dimensional models of such systems. Tumor cell growth is considered from both the logistic and the Gompertzian case, while normal cell growth of fibroblasts (WI-38 human diploid fibroblasts) is considered as logistic only.

An in silico approach to the analysis of acute wound healing.

The complex interactions that characterize acute wound healing have stymied the development of effective therapeutic modalities. The use of computational models holds the promise to improve our basic approach to understanding the process. By modifying an existing ordinary differential equation model of systemic inflammation to simulate local wound healing, we expect to improve the understanding of the underlying complexities of wound healing and thus allow for the development of novel, targeted therapeutic strategies.

Shortest-path network analysis is a useful approach toward identifying genetic determinants of longevity.

Background: Identification of genes that modulate longevity is a major focus of aging-related research and an area of intense public interest. In addition to facilitating an improved understanding of the basic mechanisms of aging, such genes represent potential targets for therapeutic intervention in multiple age-associated diseases, including cancer, heart disease, diabetes, and neurodegenerative disorders. To date, however, targeted efforts at identifying longevity-associated genes have been limited by a lack of predictive power, and useful algorithms for candidate gene-identification have also been lacking.

Predicting aging/longevity-related genes in the nematode Caenorhabditis elegans.

We present a novel mathematical/computational strategy for predicting genes/proteins associated with aging/longevity. The novelty of our method arises from the topological analysis of an organismal longevity gene/protein network (LGPN), which extends the existing cellular networks. The LGPN nodes represent both genes and corresponding proteins.

(M,R)-systems, (P,M,C)-nets, hierarchical decay, and biological aging: reminiscences of Robert Rosen.

I have the pleasure to present a number of personal experiences that I had with Robert Rosen, both as his student and as a research colleague, and I will describe how this affected my academic career over the past decades. As a matter of fact, Rosen's work with (M,R)-systems as well as his continuing mentorship guided me into my own research in gerontology and geriatrics. Amazingly, this still continues to affect my work in complexity theory after 30 years.

Impaired wound healing.

Nonhealing wounds represent a significant cause of morbidity and mortality for a large portion of the population. One of the underlying mechanisms responsible for the failure of chronic wounds to heal is an out-of-control inflammatory response that is self-sustaining. Underappreciation of the inherent complexity of the healing wound has led to the failure of monotherapies, with no significant reduction in wound healing times.