Browse
Submit Data
Databases
API
Help

Dataset Information

21 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Early-Life Intelligence Predicts Midlife Biological Age.

ABSTRACT: Early-life intelligence has been shown to predict multiple causes of death in populations around the world. This finding suggests that intelligence might influence mortality through its effects on a general process of physiological deterioration (i.e., individual variation in "biological age"). We examined whether intelligence could predict measures of aging at midlife before the onset of most age-related disease.We tested whether intelligence assessed in early childhood, middle childhood, and midlife predicted midlife biological age in members of the Dunedin Study, a population-representative birth cohort.Lower intelligence predicted more advanced biological age at midlife as captured by perceived facial age, a 10-biomarker algorithm based on data from the National Health and Nutrition Examination Survey (NHANES), and Framingham heart age (r = 0.1-0.2). Correlations between intelligence and telomere length were less consistent. The associations between intelligence and biological age were not explained by differences in childhood health or parental socioeconomic status, and intelligence remained a significant predictor of biological age even when intelligence was assessed before Study members began their formal schooling.These results suggest that accelerated aging may serve as one of the factors linking low early-life intelligence to increased rates of morbidity and mortality.

SUBMITTER: Schaefer JD

PROVIDER: S-EPMC5067943 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Artificial intelligence-estimated biological heart age using a 12-lead electrocardiogram predicts mortality and cardiovascular outcomes.

Project description:BackgroundThere is a paucity of data on artificial intelligence-estimated biological electrocardiography (ECG) heart age (AI ECG-heart age) for predicting cardiovascular outcomes, distinct from the chronological age (CA). We developed a deep learning-based algorithm to estimate the AI ECG-heart age using standard 12-lead ECGs and evaluated whether it predicted mortality and cardiovascular outcomes.MethodsWe trained and validated a deep neural network using the raw ECG digital data from 425,051 12-lead ECGs acquired between January 2006 and December 2021. The network performed a holdout test using a separate set of 97,058 ECGs. The deep neural network was trained to estimate the AI ECG-heart age [mean absolute error, 5.8 ± 3.9 years; R-squared, 0.7 (r = 0.84, p < 0.05)].FindingsIn the Cox proportional hazards models, after adjusting for relevant comorbidity factors, the patients with an AI ECG-heart age of 6 years older than the CA had higher all-cause mortality (hazard ratio (HR) 1.60 [1.42-1.79]) and more major adverse cardiovascular events (MACEs) [HR: 1.91 (1.66-2.21)], whereas those under 6 years had an inverse relationship (HR: 0.82 [0.75-0.91] for all-cause mortality; HR: 0.78 [0.68-0.89] for MACEs). Additionally, the analysis of ECG features showed notable alterations in the PR interval, QRS duration, QT interval and corrected QT Interval (QTc) as the AI ECG-heart age increased.ConclusionBiological heart age estimated by AI had a significant impact on mortality and MACEs, suggesting that the AI ECG-heart age facilitates primary prevention and health care for cardiovascular outcomes.

| S-EPMC10133724 | biostudies-literature

Midlife omega-3 fatty acid intake predicts later life white matter microstructure in an age- and APOE-dependent manner.

Project description:Omega-3 intake has been positively associated with healthy brain aging, yet it remains unclear whether high omega-3 intake beginning early in life may optimize its protective effects against brain aging. We examined whether omega-3 intake is associated with brain microstructure over 2 decades later among dementia-free older adults. The 128 participants (62% women; age at magnetic resonance imaging: 76.6 ± 7.9) from the Rancho Bernardo Study of Healthy Aging completed at least 1 dietary assessment between 1984 and 1996 and underwent restriction spectrum imaging (RSI) 22.8 ± 3.1 years later. We evaluated associations between prior omega-3 intake and RSI metrics of gray and white matter (WM) microstructure. Higher prior omega-3 intake was associated with greater restricted diffusion in the superior cortico-striatal fasciculus. A correlation between higher prior omega-3 intake and greater cingulum restricted diffusion was stronger among participants >80 years old. Higher omega-3 intake correlated with greater restricted diffusion in the inferior longitudinal and inferior fronto-occipital fasciculus more strongly for apolipoprotein E (APOE) ε4 carriers than noncarriers. Associations were not modified by adjustment for dietary pattern, health, or lifestyle. High omega-3 intake in midlife may help to maintain WM integrity into older age, particularly in the latest decades of life and among APOE ε4 carriers.

| S-EPMC9977375 | biostudies-literature

Telomere length in early life predicts lifespan.

Project description:The attrition of telomeres, the ends of eukaryote chromosomes, is thought to play an important role in cell deterioration with advancing age. The observed variation in telomere length among individuals of the same age is therefore thought to be related to variation in potential longevity. Studies of this relationship are hampered by the time scale over which individuals need to be followed, particularly in long-lived species where lifespan variation is greatest. So far, data are based either on simple comparisons of telomere length among different age classes or on individuals whose telomere length is measured at most twice and whose subsequent survival is monitored for only a short proportion of the typical lifespan. Both approaches are subject to bias. Key studies, in which telomere length is tracked from early in life, and actual lifespan recorded, have been lacking. We measured telomere length in zebra finches (n = 99) from the nestling stage and at various points thereafter, and recorded their natural lifespan (which varied from less than 1 to almost 9 y). We found telomere length at 25 d to be a very strong predictor of realized lifespan (P < 0.001); those individuals living longest had relatively long telomeres at all points at which they were measured. Reproduction increased adult telomere loss, but this effect appeared transient and did not influence survival. Our results provide the strongest evidence available of the relationship between telomere length and lifespan and emphasize the importance of understanding factors that determine early life telomere length.

| S-EPMC3277142 | biostudies-other

A metabolic signature predicts biological age in mice.

Project description:Our understanding of the mechanisms by which aging is produced is still very limited. Here, we have determined the sera metabolite profile of 117 wild-type mice of different genetic backgrounds ranging from 8 to 129 weeks of age. This has allowed us to define a robust metabolomic signature and a derived metabolomic score that reliably/accurately predicts the age of wild-type mice. In the case of telomerase-deficient mice, which have a shortened lifespan, their metabolomic score predicts older ages than expected. Conversely, in the case of mice that overexpress telomerase, their metabolic score corresponded to younger ages than expected. Importantly, telomerase reactivation late in life by using a TERT-based gene therapy recently described by us significantly reverted the metabolic profile of old mice to that of younger mice, further confirming an anti-aging role for telomerase. Thus, the metabolomic signature associated with natural mouse aging accurately predicts aging produced by telomere shortening, suggesting that natural mouse aging is in part produced by presence of short telomeres. These results indicate that the metabolomic signature is associated with the biological age rather than with the chronological age. This constitutes one of the first aging-associated metabolomic signatures in a mammalian organism.

| S-EPMC3552107 | biostudies-literature

Successful aging: the contribution of early-life and midlife risk factors.

Project description:OBJECTIVES:To test whether early-life factors (education, height, father's social position) and midlife social, behavioral, and psychosocial factors were associated with entering older age without disease and with good functioning. DESIGN:A longitudinal, British civil service-based cohort study. Participants were followed for 17 years to assess successful aging. This was defined as being free of major disease and in the top tertile of physical and cognitive functioning measured in 2002 to 2004. SETTING:Twenty London-based Civil Service departments. PARTICIPANTS:Four thousand, one hundred forty men and 1,823 women, free of major disease at baseline in 1985 to 1988 (mean age 44, range 35-55). MEASUREMENTS:Behavioral, biological, and psychosocial risk factors; physical and cognitive functioning; and disease outcomes. RESULTS:Five hundred forty eight (12.8%) men and 246 (14.6%) women were successfully aging at follow-up. Midlife socioeconomic position strongly predicted this (age-adjusted odds ratio, highest vs lowest=7.1, 95% CI=3.4-14.6, for men and 7.7, 95% CI=4.9-12.1, for women). Height, education (in men), not smoking, diet, exercise, moderate alcohol (in women), and work support (in men) were related to a favorable older life after adjustment for age and socioeconomic position. CONCLUSION:Interventions to promote healthy adult behavior may attenuate harmful effects of less-modifiable risk factors and reduce social inequalities.

| S-EPMC2696176 | biostudies-literature

Early life exposure to China's 1959-61 famine and midlife cognition.

Project description:BackgroundExisting studies of the 1944-45 Dutch famine found little evidence of the association between early life malnutrition and midlife cognition.MethodsAmong 2446 rural participants born between 1958 and 1963 in the China Health and Retirement Longitudinal Study, we examined effects of exposure to China's 1959-61 Great Leap Forward famine during prenatal and early postnatal life, on four cognitive measures in 2011 (baseline) and changes in cognition between 2011 and 2013 (first follow-up). We obtained difference-in-differences (DID) estimates of the famine effects by exploiting temporal variation in the timing and duration of famine exposure across six birth cohorts born between 1958 and 1963, together with geographical variation in famine severity at the prefecture level.ResultsAfter adjusting for gender, marital status and provincial fixed effects, we found that the 1961 cohort who experienced full-term prenatal and partial-term postnatal exposures to famine had lower scores on the Telephone Interview of Cognitive Status (TICS), a test of drawing pentagons, and general cognition at age 50 years compared with the unexposed 1963 cohort. Adjusting for education, the famine effects on drawing pentagons and general cognition were fully attenuated, but the effect on TICS persisted. We also found a robust negative famine effect on the longitudinal change in general cognition during the 2-year follow-up in the 1959 cohort.ConclusionsSevere nutritional deprivation during prenatal and postnatal periods has a lasting impact on cognitive performance in Chinese adults in their early 50s.

| S-EPMC6075478 | biostudies-literature

Early life predictors of midlife allostatic load: A prospective cohort study.

Project description:BACKGROUND:Allostatic load has been suggested as a pathway through which experiences become biologically embedded to influence health. Research on childhood predictors of allostatic load has focused on socioeconomic and psychosocial exposures, while few studies include prospective measures of biomedical exposures. Further, findings on sex differences in the association of childhood predictors with various health outcomes related to allostatic load are ambiguous. AIMS:To examine the influence of early life biomedical and social factors in the first year of life on midlife allostatic load, assessing potential sex differences. METHODS:This prospective cohort study includes early life information collected at birth and a one year examination for 1,648 members of the Copenhagen Perinatal Cohort who also participated in the Copenhagen Aging and Midlife Biobank study (aged 49-52 years, 56% women). Allostatic load based on 14 biomarkers was selected as a measure of midlife health status. Early life factors were categorized as predominantly biomedical or social, and their associations with midlife allostatic load were examined in domain-specific and combined sex-stratified multiple regression models. RESULTS:The biomedical factors model explained 6.6% of the variance in midlife allostatic load in men and 6.7% in women, while the social model explained 4.1% of the variance in men and 7.3% in women. For both sexes, parental socioeconomic position at one year and maternal BMI significantly predicted midlife allostatic load in a model containing all early life factors. For women, additional significant predictors were complications at birth, birth weight and not living with parents at one year. CONCLUSION:The results confirm an association of lower childhood socioeconomic position with higher adult allostatic load while demonstrating the importance of other prenatal and early life exposures and highlighting potential sex differences.

| S-EPMC6095582 | biostudies-literature

Fluid Intelligence Predicts Change in Depressive Symptoms in Later Life: The Lothian Birth Cohort 1936.

Project description:We examined reciprocal, time-ordered associations between age-related changes in fluid intelligence and depressive symptoms. Participants were 1,091 community-dwelling older adults from the Lothian Birth Cohort 1936 study who were assessed repeatedly at 3-year intervals between the ages of 70 and 79 years. On average, fluid intelligence and depressive symptoms worsened with age. There was also a dynamic-coupling effect, in which low fluid intelligence at a given age predicted increasing depressive symptoms across the following 3-year interval, whereas the converse did not hold. Model comparisons showed that this coupling parameter significantly improved overall fit and had a correspondingly moderately strong effect size, accounting on average for an accumulated 0.9 standard-deviation increase in depressive symptoms, following lower cognitive performance, across the observed age range. Adjustment for sociodemographic and health-related covariates did not significantly attenuate this association. This implies that monitoring for cognitive decrements in later life may expedite interventions to reduce related increases in depression risk.

| S-EPMC6291904 | biostudies-other

The Biological Residue of Low Early-Life Social Class

Project description:Research shows that children who are reared in households with low socioeconomic status are more vulnerable to heart disease, respiratory infection, and some cancers when they reach adulthood. This study conducted transcriptional profiling of PBMC in healthy adults who were low vs. high in early-life SES to explore the long-lasting genomic effects of early experience. Keywords: life stress, gene expression, inflammation, socioeconomic status Samples from 30 adults with low early-life SES and 30 adults with high early-life SES

2009-03-10 | E-GEOD-15180 | biostudies-arrayexpress

The Biological Residue of Low Early-Life Social Class

2009-03-11 | GSE15180 | GEO