Aging Trajectories in Different Body Systems Share Common Environmental Etiology: The Healthy Aging Twin Study (HATS)

Are adverse childhood experiences associated with trajectories of healthy aging? Evidence from China

Adverse childhood experiences (ACEs) have life-course impact and may be associated with healthy aging. This study aimed to explore the association between ACEs and healthy aging trajectories among middle- and older-aged adults in China. The data were obtained from the China Health and Retirement Longitudinal Study from 2011 to 2018. A total of 8906 respondents were enrolled in the analysis. Through latent growth mixture model, five categories of healthy aging trajectories which defined as 'stable type with high starting point', 'stable type at the middle level', 'stable type with low starting point', 'rapid descending type with high starting point', and 'stable descending type with medium starting point' were identified. Based on multinomial logistic regression, ACEs were significantly associated with healthy aging trajectories (stable type at the middle level/stable type with high starting point: relative risk reduction [RRR] = 1.19; P < 0.01; 95% CI = 1.16-1.23; stable type with low starting point/stable type with high starting point: RRR = 1.35; P < 0.01; 95%CI = 1.21-1.51; rapid descending type with high starting point/stable type with high starting point: RRR = 1.09; P < 0.1; 95% CI = 0.99-1.19; and stable descending type with medium starting point/stable type with high starting point: RRR = 1.30; P < 0.01; 95% CI = 1.23-1.38). When treating ACEs as a categorical variable, the healthy aging trajectory of the rapid descending type with a high starting point was not affected by any ACE groups. Further analysis of the relationship between each ACE and the trajectories of healthy aging reveals that parental disability, household mental illness, domestic violence, physical abuse, unsafe neighbourhood and bullying had significant impacts on almost every developmental trajectory of unhealthy aging. The government should promote the realisation of healthy aging from the perspective of the entire population and life cycle, intervene early in life, avoid the occurrence of ACEs as much as possible, and minimize the harm done by ACEs as much as possible.

Comparison of the Coincidence of Osteoporosis, Fracture, Arthritis Histories, and DEXA T-Score between Monozygotic and Dizygotic Twins: A Cross-Sectional Study Using KoGES HTS Data

We explored the genetic and environmental inter-relationships among osteoporosis, fracture, arthritis, and bone mineral density concordance in monozygotic twins compared to those in dizygotic twins. This cross-sectional research assessed data of 1032 monozygotic and 242 dizygotic twin pairs aged >20 years included in the Healthy Twin Study data of the Korean Genome and Epidemiology Study between 2005 and 2014. Outcomes of interest included illness concordance and absolute differences in dual-energy X-ray absorptiometry (DEXA) T-scores. We found comparable concordances of osteoporosis, fractures, osteoarthritis, and rheumatoid arthritis between monozygotic and dizygotic twins. Medical histories of osteoporosis, fractures caused by accident or falling, osteoarthritis, and rheumatoid arthritis were not distinct between monozygotic and dizygotic twins. Accidental fracture occurrence in both monozygotic twins showed significantly lower odds than that in dizygotic twins. Genetic influence on liability to fracture risk might thus be maintained. DEXA T-scores for bone mineral density indicated more comparable tendencies within monozygotic twin pairs than within dizygotic ones, suggesting the relative importance of genetic contribution to bone mineral density. The relative importance of genetic factors in bone mineral density is sustained between monozygotic twins; overt disease expression of osteoporosis, fractures, or arthritis may be affected by environmental factors.

Multisystem Trajectories Over the Adult Life Course and Relations to Cardiovascular Disease and Death

BACKGROUND

Comprehensive conjoint characterization of long-term trajectories representing several biological systems is lacking.

METHODS

We measured serially indicators representing 14 distinct biological systems in up to 3,453 participants attending four Framingham Study examinations: bone mineral density, body mass index (BMI), C-reactive protein, glomerular filtration rate, forced vital capacity (FVC), 1 second forced expiratory volume/FVC ratio (FEV1/FVC), gait speed, grip strength, glycosylated hemoglobin (HbA1c), heart rate, left ventricular mass, Mini-Mental State Examination (MMSE), pulse pressure, and total/high-density lipoprotein cholesterol ratio (TC/HDL).

RESULTS

We observed that correlations among the 14 sex-specific trajectories were modest (r < .30 for 169 of 182 sex-specific correlations). During follow-up (median 8 years), 232 individuals experienced a cardiovascular disease (CVD) event and 393 participants died. In multivariable regression models, CVD incidence was positively related to trajectories of BMI, HbA1c, TC/HDL, gait time, and pulse pressure (p < .06); mortality risk was related directly to trajectories of gait time, C-reactive protein, heart rate, and pulse pressure but inversely to MMSE and FEV1/FVC (p < .006). A unit increase in the trajectory risk score was associated with a 2.80-fold risk of CVD (95% confidence interval [CI], 2.04-3.84; p < .001) and a 2.71-fold risk of death (95% CI, 2.30-3.20; p < .001). Trajectory risk scores were suggestive of a greater increase in model c-statistic compared with single occasion measures (delta-c compared with age- and sex-adjusted models: .032 vs .026 for CVD; .042 vs .030 for mortality).

CONCLUSIONS

Biological systems age differentially over the life course. Longitudinal data on a parsimonious set of biomarkers reflecting key biological systems may facilitate identification of high-risk individuals.

Tick-Tock Chimes the Kidney Clock - from Biology of Renal Ageing to Clinical Applications

Ageing of the kidney is a multi-dimensional process that occurs simultaneously at the molecular, cellular, histological, anatomical and physiological level. Nephron number and renal cortical volume decline, renal tubules become atrophic and glomeruli become sclerotic with age. These structural changes are accompanied by a decline in glomerular filtration rate, decreased sodium reabsorption and potassium excretion, reduced urinary concentrating capacity and alterations in the endocrine activity of the kidney. However, the pace of progression of these changes is not identical in everyone - individuals of the same age and seemingly similar clinical profile often exhibit stark differences in the age-related decline in renal health. Thus, chronological age poorly reflects the time-dependent changes that occur in the kidney. An ideal measure of renal vitality is biological kidney age - a measure of the age-related changes in physiological function. Replacing chronological age with biological age could provide numerous clinical benefits including improved prognostic accuracy in renal transplantation, better stratification of risk and identification of those who are on a fast trajectory to an age-related drop in kidney health.