Stability of personality in later life

The relation of aging and the stability of personality in late life is evaluated by a literature review. The findings of six longitudinal studies reveal that rank-order consistency continues into old age. The mean-level stability reveals a concave curve for 'neuroticism' with an increase after age 80, a decrease for 'extraversion', and an increase for 'agreeableness'. The methodological and conceptual issues of personality assessment with old adults can be resolved by using a self report scale which corresponds to the capacities and the lifestyle of older adults and by involving age related variables into analyses.     

Biomarkers of aging in women and the rate of longitudinal changes

The purposes of this study were (1) to estimate biological age score (BAS) in Japanese healthy women based on the 4-7 years longitudinal data for physiological, hematological and biochemical examinations and (2) to examine the rate of aging changes in adult women based on the estimated BAS. The samples consisted of cross-sectional (n=981) and longitudinal (n=110) groups. Out of 31 variables examined, five variables (forced expiratory volume in 1.0 s, systolic blood pressure, mean corpuscular hemoglobin, glucose, albumin/globulin ratio) that met the following criteria: 1) significant cross-sectional correlation with age; 2) significant longitudinal change in the same direction as the cross-sectional correlation; and (3) assessment of redundancy, were selected as candidate biomarkers of aging. This variable set was then submitted into a principal component analysis, and the first principal component obtained from this analysis was used as an equation for assessing one's BAS. Individual BAS showed a high longitudinal stability of age-related changes, suggesting high predictive validity of our newly developed aging measurement equation. However, changes in the aging rate based on the estimated BAS were not constant. The mean slopes of the regression lines of BAS for the three age groups (age<45, 45相似文献   

Time-varying functional regression for predicting remaining lifetime distributions from longitudinal trajectories

A recurring objective in longitudinal studies on aging and longevity has been the investigation of the relationship between age-at-death and current values of a longitudinal covariate trajectory that quantifies reproductive or other behavioral activity. We propose a novel technique for predicting age-at-death distributions for situations where an entire covariate history is included in the predictor. The predictor trajectories up to current time are represented by time-varying functional principal component scores, which are continuously updated as time progresses and are considered to be time-varying predictor variables that are entered into a class of time-varying functional regression models that we propose. We demonstrate for biodemographic data how these methods can be applied to obtain predictions for age-at-death and estimates of remaining lifetime distributions, including estimates of quantiles and of prediction intervals for remaining lifetime. Estimates and predictions are obtained for individual subjects, based on their observed behavioral trajectories, and include a dimension-reduction step that is implemented by projecting on a single index. The proposed techniques are illustrated with data on longitudinal daily egg-laying for female medflies, predicting remaining lifetime and age-at-death distributions from individual event histories observed up to current time.     

Exploiting the rodent model for studies on the pharmacology of lifespan extension

The rodent is a particularly valuable model with which to test therapeutic interventions for aging, as rodent physiology is close enough to human physiology to give the findings relevance for human aging, and it is small enough to allow for use of statistically robust sample sizes. There are many rodent models to choose from, with advantages and disadvantages to each. The choice of model system, as well as other experimental design decisions such as diet and housing, is extremely important for the success of lifespan studies. These issues are discussed in this review of the use of the rodent model. The National Institute on Aging (NIA) Interventions Testing Program, which has grappled with all of these issues, is described.     

Hematologic and blood biochemical variables of captive chimpanzees: cross-sectional and longitudinal analyses

Hematologic and blood biochemical variables are of great importance in medical and veterinary practice. In addition, these analytes may have significance as potential biomarkers of aging. Previous reports on normative values of these variables in the chimpanzees are based on cross-sectional studies that did not include individuals of advanced age. To address this omission, we performed cross-sectional and longitudinal analyses of hematologic and blood biochemical data collected from chimpanzees over a 9-year period. One-hundred forty-six females and 106 males of ages representing the entire life span of the species were studied. We derived normative cross-sectional values of 14 commonly measured hematologic and 20 blood biochemical variables, which should provide a useful reference for clinical blood studies in chimpanzees. In addition, we found in a cross-sectional regression analysis of our data that most analytes varied significantly between males and females, and that they varied markedly with age. Most variables had year-to-year consistency within the same individuals, as indicated by statistically significant intra-year correlation coefficients. Finally, we performed a longitudinal analysis of the analytes in chimpanzees by calculating the slopes and intercepts of the best-fitting trend line for each individual. The resulting slopes were analyzed by sex and by decade of age of subjects to determine whether trends were consistent. Consistent trends detected in the longitudinal analysis were usually restricted to the first decade of life, and thus represented maturational processes. The overall lack of within-animal trends covering all or most of the period from early adulthood through old age in this 9-year study suggests that a longer period of follow-up than used here may be required to document senescence-related changes.     

Nutrition as a determinant of functional autonomy and quality of life in aging: a research program

With the aging of the Canadian population, functional autonomy and quality of life among seniors are now important public health issues. We hypothesized that nutrition is an important determinant of the quality of aging because of its potential to modulate the transitions from vulnerability to frailty and dependence. Over the past 15 years, our research program addressed the prevalence, the determinants, and the consequences of undernutrition among seniors, especially the free-living frail elderly. Very low energy and nutrient intakes were observed as well as a high prevalence of involuntary weight loss. These chronic conditions were associated with early institutionalization and increased mortality rates. Intervention strategies were then developed and evaluated, including the Nutrition Screening Program and the Nutrition Support Program. The effectiveness of these programs was shown with respect to improvement of nutritional status. However, this improvement was not sufficient to produce significant changes in functional autonomy or quality of life. Methodological issues related to the conduct of intervention studies in this specific population were addressed. A conceptual framework of nutritional intervention is currently being validated. A large longitudinal study that is being undertaken will further contribute to our understanding of the aging process as determined by a modifiable factor such as nutrition.     

Mortality and aging in a heterogeneous population: a stochastic process model with observed and unobserved variables

Various multivariate stochastic process models have been developed to represent human physiological aging and mortality. These efforts are extended by considering the effects of observed and unobserved state variables on the age trajectory of physiological parameters. This is done by deriving the Kolmogorov-Fokker-Planck equations describing the distribution of the unobserved state variables conditional on the history of the observed state variables. Given some assumptions, it is proved that the distribution is Gaussian. Strategies for estimating the parameters of the distribution are suggested based on an extension of the theory of Kalman filters to include systematic mortality selection. Various empirical applications of the model to studies of human aging and mortality as well as to other types of "failure" processes in heterogeneous populations are discussed.     

The hypothalamus for whole-body physiology: from metabolism to aging

Obesity and aging are two important epidemic factors for metabolic syndrome and many other health issues, which contribute to devastating diseases such as cardiovascular diseases, stroke and cancers. The brain plays a central role in controlling metabolic physiology in that it integrates information from other metabolic organs, sends regulatory projections and orchestrates the whole-body function. Emerging studies suggest that brain dysfunction in sensing various internal cues or processing external cues may have profound effects on metabolic and other physiological functions. This review highlights brain dysfunction linked to genetic mutations, sex, brain inflammation, microbiota, stress as causes for whole-body pathophysiology, arguing brain dysfunction as a root cause for the epidemic of aging and obesity-related disorders. We also speculate key issues that need to be addressed on how to reveal relevant brain dysfunction that underlines the development of these disorders and diseases in order to develop new treatment strategies against these health problems.     

Interpretable machine learning for high-dimensional trajectories of aging health

We have built a computational model for individual aging trajectories of health and survival, which contains physical, functional, and biological variables, and is conditioned on demographic, lifestyle, and medical background information. We combine techniques of modern machine learning with an interpretable interaction network, where health variables are coupled by explicit pair-wise interactions within a stochastic dynamical system. Our dynamic joint interpretable network (DJIN) model is scalable to large longitudinal data sets, is predictive of individual high-dimensional health trajectories and survival from baseline health states, and infers an interpretable network of directed interactions between the health variables. The network identifies plausible physiological connections between health variables as well as clusters of strongly connected health variables. We use English Longitudinal Study of Aging (ELSA) data to train our model and show that it performs better than multiple dedicated linear models for health outcomes and survival. We compare our model with flexible lower-dimensional latent-space models to explore the dimensionality required to accurately model aging health outcomes. Our DJIN model can be used to generate synthetic individuals that age realistically, to impute missing data, and to simulate future aging outcomes given arbitrary initial health states.     

Transnationalism and the state: recurring themes and new directions

Transnationalism is central to our understanding of the impact and experiences of global migration. The paper by Levitt and de la Dehesa (2003) explores the policies and strategies of the sending state in relation to their emigrants and investigates the reasons for policy convergences and divergences. While the issues examined in the paper continue to be relevant there are other areas and methodological approaches that need to be developed and/or included in contemporary studies of sending state led transnationalism explored in this piece. These include the need for research to take a multi-level approach to include the different actors involved and their interactions; longitudinal analysis that examines the heterogeneous and complex nature of contemporary migration flows, the changing situations in sending and destination countries and among migrants and the need to incorporate the second and subsequent generations into research.     

Effects of aging on the kidney.

A host of abnormalities of renal structure and function accompany advancing age. This presentation briefly surveys the renal anatomical and functional changes associated with senescence. Four areas of renal functional change have been selected for in-depth discussion: a) renal blood flow; b) glomerular filtration rate; c) renal sodium handling; and d) renal concentrating ability. The methodologic considerations including population selection which confound the assessment of the effects of aging on renal function are discussed. In addition, the functional changes associated with senescence are discussed in the context of longitudinal studies and studies utilizing appropriate patient cohorts, including potential kidney transplant donors. The clinical implications of senescent changes with regard to adjusting "normative" standards to fit the age of the patient are addressed. Furthermore, the implications of age-related renal functional alterations in predisposing the elderly patient to a number of fluid and electrolyte derangements are considered.--Epstein, M. Effects of aging on the kidney.     

The social cognition of social foraging: partner selection by underlying valuation

Humans and other animals have a variety of psychological abilities tailored to the demands of asocial foraging, that is, foraging without coordination or competition with other conspecifics. Human foraging, however, also includes a unique element: the creation of resource pooling systems. In this type of social foraging, people contribute when they have excess resources and receive provisioning when in need. Is this behavior produced by the same psychology as asocial foraging? If so, foraging partners should be judged by the same criteria used to judge asocial patches of resources: the net energetic benefits they provide. The logic of resource pooling speaks against this. Maintaining such a system requires the ability to judge others not on their short-term returns, but on the psychological variables that guide their behavior over the long term. We test this idea in a series of five studies using an implicit measure of categorization. Results showed that (a) others are judged by the costs they incur (a variable not relevant to asocial foraging), whereas (b) others are not judged by the benefits they provide when benefits provided are unrevealing of underlying psychological variables (despite this variable being relevant to asocial foraging). These results are suggestive of a complex psychology designed for both social and asocial foraging.     

The psychological outcome of constitutional delay of growth and puberty

Does being of short stature (SS) matter? Growth studies are important because endocrinologists need to be able to give not only diagnostic but also prognostic indication to those of SS, and give advice for or against treatment. Studies on body height may give significant insight into the behavioural-hypothalamic-pituitary axis underlying the surface effect on social behaviour. This research presents adult follow-up studies of 49 males who attended at a growth clinic as children and who were diagnosed as having the condition of maturational delay short stature (MDSS). From the psychological perspective, the elements of diagnosis and prognosis, attitudinal influences both social and individual, treatment, and psychological issues which could have bearing on SS are drawn together. Where there is a poor psychosocial outcome finding, the MDSS patients seem to be more like those with growth hormone (GH) deficiency. With GH deficiency (GHD), a poor psychosocial outcome of SS has been demonstrated with greater certainty. The current situation is that there remains divergence between previous SS outcome studies. Differing research SS psychosocial outcomes are analysed and a methodological explanation of past divergent outcomes is presented, being: (1) differences in sensitivity between psychological assessment tools; (2) Invalidation by confounding the psychological with sociological outcomes, and (3) confounding of results by failure to control for psychological states. An innovative new approach of changing the methodology of past SS research from the biological to the psychological perspective is employed: previous SS research has appointed height status as the independent variable, with psychosocial outcome as the dependent variable. The innovative approach in this research is to reverse that order and psychological status has been made the independent variable for both the MDSS and for a predetermined psychologically and physically healthy (PPH) comparison group of males. The results of the follow-up studies in this research indicate that there is an association between psychological distress and attained height which supports other studies where the findings indicate a poor psychological outcome associated with SS. It can therefore be concluded that the psychological status of children should be determined when they attend a growth clinic with concerns of SS.     

Age factor and the pattern of change in craniofacial structures

Today special emphasis is being placed upon the understanding of human aging and this study is an attempt to shed light on the craniofacial complex during the later years. Postcranial skeletal alteration is clear and it is now evident that cranial and facial structures are no exception to the aging process. The longitudinal information presented here indicates continuing overall growth from early adulthood to later life. The cranium thickens and the skull diameter increases. Endocranial dimensions enlarge as well. This suggests larger overall skull size and expansion of the cranial cavity. The visceral cranial structures also participate in the continuing growth process. Enlargement in all areas seems to be of similar magnitude except for skull thickness, sella turcica, and frontal sinus. The size increase in these three structures is greater than in other segments examined. In essence, the craniofacial complex is in a state of growth throughout life. The entire system is involved in a process of symmetrical enlargement.     

Genetic model for longitudinal studies of aging, health, and longevity and its potential application to incomplete data

Many longitudinal studies of aging collect genetic information only for a sub-sample of participants of the study. These data also do not include recent findings, new ideas and methodological concepts developed by distinct groups of researchers. The formal statistical analyses of genetic data ignore this additional information and therefore cannot utilize the entire research potential of the data. In this paper, we present a stochastic model for studying such longitudinal data in joint analyses of genetic and non-genetic sub-samples. The model incorporates several major concepts of aging known to date and usually studied independently. These include age-specific physiological norms, allostasis and allostatic load, stochasticity, and decline in stress resistance and adaptive capacity with age. The approach allows for studying all these concepts in their mutual connection, even if respective mechanisms are not directly measured in data (which is typical for longitudinal data available to date). The model takes into account dependence of longitudinal indices and hazard rates on genetic markers and permits evaluation of all these characteristics for carriers of different alleles (genotypes) to address questions concerning genetic influence on aging-related characteristics. The method is based on extracting genetic information from the entire sample of longitudinal data consisting of genetic and non-genetic sub-samples. Thus it results in a substantial increase in the accuracy of statistical estimates of genetic parameters compared to methods that use only information from a genetic sub-sample. Such an increase is achieved without collecting additional genetic data. Simulation studies illustrate the increase in the accuracy in different scenarios for datasets structurally similar to the Framingham Heart Study. Possible applications of the model and its further generalizations are discussed.     

Model of hidden heterogeneity in longitudinal data

Variables measured in longitudinal studies of aging and longevity do not exhaust the list of all factors affecting health and mortality transitions. Unobserved factors generate hidden variability in susceptibility to diseases and death in populations and in age trajectories of longitudinally measured indices. Effects of such heterogeneity can be manifested not only in observed hazard rates but also in average trajectories of measured indices. Although effects of hidden heterogeneity on observed mortality rates are widely discussed, their role in forming age patterns of other aging-related characteristics (average trajectories of physiological state, stress resistance, etc.) is less clear. We propose a model of hidden heterogeneity to analyze its effects in longitudinal data. The approach takes the presence of hidden heterogeneity into account and incorporates several major concepts currently developing in aging research (allostatic load, aging-associated decline in adaptive capacity and stress-resistance, age-dependent physiological norms). Simulation experiments confirm identifiability of model's parameters.     

Too Materialistic to Get Married and Have Children?

We developed new materials to induce a luxury mindset and activate materialistic values, and examined materialism’s relationship to attitudes toward marriage and having children in Singapore. Path analyses indicated that materialistic values led to more negative attitudes toward marriage, which led to more negative attitudes toward children, which in turn led to a decreased number of children desired. Results across two studies highlight, at the individual level, the tradeoff between materialistic values and attitudes toward marriage and procreation and suggest that a consideration of psychological variables such as materialistic values may allow for a better understanding of larger-scale socioeconomic issues including low fertility rates among developed countries. We discuss implications and describe how psychological factors relating to low fertility fit within evolutionary mismatch and life history theory frameworks.     

Association between prehypertension and psychological distress among adults in Saudi Arabia: A population-based survey

BackgroundPrehypertension is a precursor to hypertension status. Psychological distress has been identified earlier among hypertensives; however, there is little evidence for the presumptive relationship between prehypertension and psychological distress.ObjectiveThe study aimed to assess the psychological wellbeing of the Al-Kharj, Saudi Arabia population, using the General Health Questionnaire (GHQ-12) and correlating it with prehypertensive patients in the same population.MethodsA cross-sectional analysis of the population of Al-Kharj, Saudi Arabia, was carried out between January and June of 2016. With an 85 percent response rate, a total of 1016 participants participated in the study. A multiple linear regression analysis was performed to assess the relationship between prehypertension and psychological distress.ResultsThe findings of the adjusted analysis demonstrated that, on average prehypertensive patients were more distressed psychologically than non-hypertensive patients (unstandardized Beta regression coefficient = 3.600; P-value 0.025). Similarly, on average women were found to be more psychologically distressed than men (unstandardized Beta = 1.511, P-value 0.002). Civil workers and unemployed individuals were more psychologically distressed than employed individuals (unstandardized Beta = 1.326, P-value 0.041) while adjusting for the sociodemographic and other variables such as BMI, diabetes status, cholesterol, and smoking status.ConclusionThe current study shows that as compared to normotensive patients, self-rated mental wellbeing and psychological wellbeing are all considerably poorer among prehypertensive patients. To prevent individuals from having negative psychological outcomes and their long-term complications, the Government of Saudi Arabia needs to concentrate on prehypertensive, female, and unemployed individuals. Well-designed longitudinal studies, primarily in Saudi Arabia, are needed in the future to research the cause and impact of poor mental health and prehypertension.     

Early puberty in adopted children

Early puberty is frequently observed in adopted children. In various studies, early puberty has been associated with decreased final height. In Europe, studies were undertaken to treat early puberty in adopted children with GnRH agonist. This article reviews the current understanding of early puberty in adopted children, including prevalence, background and treatment options. Data from the European studies are briefly described. Besides auxological aspects, psychological items are addressed as well. Studies on the psychological effect of early puberty in adopted children are reported. Future issues include further study in the mechanism of early puberty in adopted children, evaluation of final height results of the growth studies and quality of life assessments in this specific group of children.