Healthy Lifestyle Behaviors and Biological Aging in the U.S. National Health and Nutrition Examination Surveys 1999-2018

Research progress and hotspots of the impact of Mediterranean diet on aging from 2004 to 2023: A bibliometric analysis

OBJECTIVE

This study aims to identify research hotspots and trends by conducting a bibliometric report regarding the impact of MD on aging.

METHODS

Publications on MD and aging were extracted from the Web of Science Core Collection. R software, VOSviewer and CiteSpace were employed to detect research hotspots and frontiers.

RESULTS

The number of annual articles has grown rapidly. The core research content in this field are the mechanism of the antiaging action of MD (inflammation, oxidative stress and gut microbiome) and age-related diseases (particularly cardiovascular diseases, Alzheimer's disease and metabolic syndrome). The interplay between MD and the gut microbiome or physical activity impacting healthy aging has been the recent hotspot and research frontier.

CONCLUSION

This study quantitatively and objectively described the research status and research focus of the impact of MD on aging, which provides reference for future research in this field.

Roles of Genetic Predisposition and Mediation of Biological Age Acceleration in the Association Between Air Pollution and Dementia

BACKGROUND

Air pollution exposure (both individual and joint) is associated with dementia, but its relation to early-onset dementia (EOD) and late-onset dementia (LOD) remains inconclusive. Meanwhile, the modification by genetic predisposition and mediation by accelerated biological aging are also unclear.

METHODS

A cohort of 285 774 dementia-free participants from the UK Biobank was analyzed. Exposure levels of four major air pollutants (PM2.5, PM10, NO2, and NOx), two air pollution scores (APS1 and APS2) were obtained, and their associations with all-cause dementia (ACD), EOD and LOD were assessed via Cox models. Genetic predisposition to dementia was evaluated and the mediation role of PhenoAge-Accel was investigated under the counterfactual framework.

RESULTS

During a median follow-up of 13.4 years, 3 898 participants developed ACD, including 231 with EOD and 3 650 with LOD. Per IQR increase of PM2.5, PM10, NO2, NOx, APS1 and APS2 was associated with 6.5% (95%CIs) (2.3%-10.9%), 6.8% (2.2%-11.5%), 4.6% (0%-9.5%), 5.3% (0.7%-10.0%), 6.8% (2.7%-11.1%), or 6.7% (2.2%-11.4%) higher risk of incident ACD, exhibiting a stronger effect on EOD than LOD. Participants with the highest polygenic risk score and air pollution scores possessed the greatest risk of ACD, EOD, and LOD. PhenoAge-Accel moderately mediated the influence of air pollution exposure on ACD risk, especially among low genetic risk participants, with slightly lower mediation effects for EOD than LOD. Similar results were found when adopting KDMAge-Accel.

CONCLUSIONS

Long-term joint exposure to air pollutants exhibited stronger associations with EOD than LOD, and accelerated biological aging serves as a partial mediator in this adverse connection.

Associations of exposure to volatile organic compounds with biological aging: a cross-sectional study

BACKGROUND

Volatile organic compounds (VOCs) are recognized as potentially linked to various health damages. However, the effects of VOCs exposure on biological aging remain unknown. This study aimed to investigate this potential association through cross-sectional analyses.

METHODS

This study analyzed data from the National Health and Nutrition Examination Surveys (2011-2016). There was a total of 29,902 participants and 3,205 participants were finally included. Biological aging was represented by PhenoAge acceleration calculated through multiple indicators including albumin and alkaline phosphatase and so on. We employed weighted multivariate logistic regression to examine the correlation between individual VOC exposure and biological aging. The least absolute shrinkage and selection operator regression was utilized to identify key VOCs for the weighted quantile sum (WQS) regression, which assessed the association between mixed exposure to VOCs and biological aging. In addition, subgroup analyses were conducted using data from the same database on individuals' daily behaviors, such as physical activity levels, smoking, and alcohol consumption, to explore the influence of daily behaviors on the above associations.

RESULTS

Logistic regression analysis indicated that exposure to various individual VOCs was associated with biological aging. The WQS results revealed a significant positive association between mixed exposure to VOCs and biological aging (P < 0.001, OR = 1.523). Additionally, we found that participants with drinking, smoking, and lower levels of physical activity were more affected by exposure to individual VOCs. Mixed VOCs exposures differed only between smoking (P < 0.001, OR = 1.422) and non-smoking populations (P = 0.216, OR = 1.158).

CONCLUSION

VOCs exposure was associated with biological aging, and daily behaviors may influence an individual's susceptibility to such exposure. This discovery provided a new way of thinking about slowing down the aging process and improving overall health.

Relationship between physical activity and DNA methylation-predicted epigenetic clocks

This study investigates the relationship between physical activity (PA) levels and DNA methylation (DNAm)-predicted epigenetic clocks in a U.S. population sample (n = 948, mean age 62, 49% female). Eight epigenetic clocks were analyzed, revealing that higher PA levels were significantly associated with younger biological ages across all indicators, with the strongest effects observed for SkinBloodAge and LinAge. Multivariable linear regression models, adjusted for sociodemographic and lifestyle factors, highlighted the potential of PA to reduce biological ageing. Subgroup analyses indicated that these associations were more pronounced among non-Hispanic whites, individuals with a BMI of 25-30, and former smokers, suggesting that the impact of PA varies across different groups. These findings emphasize the role of PA in slowing biological ageing and reducing age-related health risks. Promoting regular PA, especially among older adults and those with higher BMI, could improve well-being and lifespan, highlighting PA as a modifiable factor in healthy ageing and age-related disease prevention.

Association between exposure to organophosphate esters and cognitive function in older adults in the United States: NHANES 2011-2014

BACKGROUND

Organophosphate esters (OPEs) are widely used as an alternative to the brominated flame retardant polybrominated diphenyl ethers. The effects of OPEs on the cognitive abilities of older adults remain unclear.

METHODS

A cross-sectional study was conducted using data from the National Health and Nutrition Examination Survey 2011-2014. Cognitive function was assessed using the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) word learning test, the CERAD word recall test, the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST). OPE metabolites with detection rates above 50% were included in the study. Weighted multiple linear regression, weighted quantile sum (WQS) regression, and Bayesian kernel machine regression (BKMR) models were used to examine the effects of individual and mixed exposures to OPE metabolites on cognitive function.

RESULTS

A total of 762 older adults were included. The weighted linear regression model revealed a positive association between Ln DPHP, Ln BDCPP, and Ln BCPP and the DSST score, while a negative association was observed between Ln DBUP and the DSST score. In the positive WQS model, the index was correlated with DSST score (β = 2.65, 95% CI: 0.40 ~ 4.90, P = 0.02), with DPHP having the highest weight. The results of BKMR analysis indicated a borderline statistical significance in the increase of DSST score when the mixture of OPEs is set to a specific 90th percentile compared to all mixture concentrations set to the median.

CONCLUSIONS

Overall exposure to OPE metabolites are associated with improved cognitive function in older adults in the United States. Further prospective studies with large sample sizes are needed to confirm these results.

Lifestyles and their relative contribution to biological aging across multiple-organ systems: Change analysis from the China Multi-Ethnic Cohort study

Background

Biological aging exhibits heterogeneity across multi-organ systems. However, it remains unclear how is lifestyle associated with overall and organ-specific aging and which factors contribute most in Southwest China.

Methods

This study involved 8396 participants who completed two surveys from the China Multi-Ethnic Cohort (CMEC) study. The healthy lifestyle index (HLI) was developed using five lifestyle factors: smoking, alcohol, diet, exercise, and sleep. The comprehensive and organ-specific biological ages (BAs) were calculated using the Klemera-Doubal method based on longitudinal clinical laboratory measurements, and validation were conducted to select BA reflecting related diseases. Fixed effects model was used to examine the associations between HLI or its components and the acceleration of validated BAs. We further evaluated the relative contribution of lifestyle components to comprehension and organ systems BAs using quantile G-computation.

Results

About two-thirds of participants changed HLI scores between surveys. After validation, three organ-specific BAs (the cardiopulmonary, metabolic, and liver BAs) were identified as reflective of specific diseases and included in further analyses with the comprehensive BA. The health alterations in HLI showed a protective association with the acceleration of all BAs, with a mean shift of -0.19 (95% CI -0.34, -0.03) in the comprehensive BA acceleration. Diet and smoking were the major contributors to overall negative associations of five lifestyle factors, with the comprehensive BA and metabolic BA accounting for 24% and 55% respectively.

Conclusions

Healthy lifestyle changes were inversely related to comprehensive and organ-specific biological aging in Southwest China, with diet and smoking contributing most to comprehensive and metabolic BA separately. Our findings highlight the potential of lifestyle interventions to decelerate aging and identify intervention targets to limit organ-specific aging in less-developed regions.

Funding

This work was primarily supported by the National Natural Science Foundation of China (Grant No. 82273740) and Sichuan Science and Technology Program (Natural Science Foundation of Sichuan Province, Grant No. 2024NSFSC0552). The CMEC study was funded by the National Key Research and Development Program of China (Grant No. 2017YFC0907305, 2017YFC0907300). The sponsors had no role in the design, analysis, interpretation, or writing of this article.

Association of aging acceleration with serum neurofilament light chain levels: Implications for the roles of modifiable aging factors

INTRODUCTION

Neurofilament light chain (NfL) is a specific biomarker of neuroaxonal damage and related neurodegenerative diseases. Aging acceleration, which reflects the impact of modifiable factors on the aging process, is increasingly recognized for its relevance. While normal aging is known to contribute substantially to neuroaxonal damage and many neurodegenerative diseases, the effects of aging acceleration warrant further investigation. This study aimed to investigate the association and causality between aging acceleration and serum NfL levels.

METHODS

We conducted a cross-sectional study involving 1695 adult participants from NHANES 2013-2014 to evaluate the association, dose-response relationship, and interaction network between aging acceleration and serum NfL levels. And we used Mendelian randomization (MR) to assess the causal effects between serum NfL levels and aging acceleration.

RESULTS

Significant positive associations were observed between aging acceleration and serum NfL levels. In linear regression, the regression coefficients were 0.016 (95 % CI: 0.011-0.021) for biological age acceleration and 0.020 (95 % CI: 0.012-0.028) for phenotypic age acceleration. In logistic regression, the odds ratios were 1.052 (95 % CI: 1.029-1.076) and 1.093 (95 % CI: 1.064-1.123), respectively. Restricted cubic spline regression identified significant positive dose-response relationships, and bidirectional MR analyses demonstrated forward causal effects.

CONCLUSION

Our study indicates that aging acceleration is significantly associated with serum NfL levels, with higher levels of aging acceleration linked to an increased risk of neuroaxonal damage. These findings provide robust evidence that aging acceleration affects the risk of neuroaxonal damage and highlight the importance of modifiable aging factors.

Ovarian Aging: The Silent Catalyst of Age-Related Disorders in Female Body

Age-related diseases have emerged as a global concern as the population ages. Consequently, understanding the underlying causes of aging and exploring potential anti-aging interventions is imperative. In females, the ovaries serve as the principal organs responsible for ovulation and the production of female hormones. The aging ovaries are related to infertility, menopause, and associated menopausal syndromes, with menopause representing the culmination of ovarian aging. Current evidence indicates that ovarian aging may contribute to dysfunction across multiple organ systems, including, but not limited to, cognitive impairment, osteoporosis, and cardiovascular disease. Nevertheless, due to the widespread distribution of sex hormone receptors throughout the body, ovarian aging affects not only these specific organs but also influences a broader spectrum of age-related diseases in women. Despite this, the impact of ovarian aging on overall age-related diseases has been largely neglected. This review provides a thorough summary of the impact of ovarian aging on age-related diseases, encompassing the nervous, circulatory, locomotor, urinary, digestive, respiratory, and endocrine systems. Additionally, we have outlined prospective therapeutic approaches for addressing both ovarian aging and age-related diseases, with the aim of mitigating their impacts and preserving women's fertility, physical health, and psychological well-being.

Health effects of mixed metal exposure on accelerating aging among the elderly population

BACKGROUND

Human exposure to heavy metals occurs through multiple pathways in daily life. However, the effects of mixed heavy metal exposure on accelerated aging in the elderly U.S. population remains unclear. This study aims to investigate the association between heavy metal concentrations in blood and urine and the onset of accelerated aging.

METHODS

A total of 2530 individuals were included in the blood metals analysis and 716 individuals in the urine metals analysis in this study. GrimAge acceleration (AgeAccelGrim) was calculated as the residuals from regressing DNA methylation GrimAge on chronological age. Weighted multivariable logistic regression models were applied to analyze the relationship between metal exposure with AgeAccelGrim. Bayesian kernel machine regression (BKMR) was performed to estimate the effects of individual metals or metals mixtures and AgeAccelGrim.

RESULTS

We found that blood cadmium (Cd) concentration was positively associated with an increased risk of AgeAccelGrim in both females and males, with odds ratios (OR) of 5.73 (95 % confidence interval (95 % CI): 1.88-17.41, P trend = 0.008) and 14.25 (95 % CI: 4.88-41.62, P trend < 0.001), respectively. Moreover, these associations were more pronounced for urinary Cd compared to blood Cd. Blood lead (Pb) was also associated with a 3.52-fold (95 % CI: 1.21-10.24, P trend = 0.007) increase in AgeAccelGrim risk among males. BKMR confirmed the aforementioned findings, identifying Cd as the most significant contributor to accelerated aging.

CONCLUSIONS

Exposure to heavy metals, either individually or in mixture, was positively associated with accelerated biological aging. These associations were more pronounced in males.

Suboptimal dietary patterns are associated with accelerated biological aging in young adulthood: A study with twins

BACKGROUND & AIMS

Suboptimal diets increase morbidity and mortality risk. Epigenetic clocks are algorithms that can assess health and lifespan, even at a young age, before clinical manifestations of diseases. We investigated the association between dietary patterns and biological aging in young adult twins.

METHODS

The data were drawn from the population-based FinnTwin12 study and consisted of twins aged 21-25 years (n = 826). Food and beverage intakes were assessed using a food frequency questionnaire. Biological aging was estimated using the epigenetic clocks GrimAge and DunedinPACE. Latent class analysis was used to identify dietary patterns. The association between dietary patterns and biological aging was assessed using linear regression modeling at the individual level, followed by within-twin pair analyses to account for genetic liabilities and shared familial confounders.

RESULTS

Six dietary patterns were identified: 1) High fast food, low fruits and vegetables (F&V), 2) Plant-based, 3) Health-conscious, 4) Western with infrequent fish, 5) Western with regular fish, and 6) Balanced average. At the individual level, GrimAge acceleration was slower in the Plant-based, Health-conscious, and Balanced-average patterns compared to the High fast food, low F&V, and faster in the Western with infrequent fish pattern compared to the Balanced average, regardless of sex, nonalcoholic energy intake, smoking, and alcohol consumption. After further adjustment for BMI and sports participation, the strengths of the associations modestly decreased; however, the difference between the Balanced-average and High fast food, low F&V patterns remained significant. The pace of aging (DunedinPACE) was slower in the Plant-based pattern compared to the High fast food, low F&V and the Western with infrequent fish patterns after adjustment for sex, nonalcoholic energy intake, smoking, and alcohol. The effect sizes were attenuated and reached a non-significant level when BMI and sports participation were added to the model. Most of the associations were replicated in the within-pair analyses among all twin pairs and among dizygotic twin pairs, but the effect sizes tended to be smaller among monozygotic twin pairs. This suggests that genetics, but not a shared environment, may partially explain the observed associations between diet and biological aging.

CONCLUSION

Diets high in fast food, processed red meat, and sugar-sweetened beverages and low in fruits and vegetables are associated with accelerated biological aging in young adulthood. The clustering effect of lifestyle factors and genetic confounders should be considered when interpreting the findings.

Associations of phenols, parabens, and phthalates with biological aging: stratified analyses by chronological age and lifestyle in NHANES 2005-2010

Humans are widely exposed to phenols, parabens, and phthalates with health risks, while the effects of these chemicals on biological aging remain unclear. Among 3,441 adults in the National Health and Nutrition Examination Survey 2005-2010, phenol, paraben, and phthalate concentrations were measured and phenotypic age acceleration (PhenoAgeAccel) was calculated. Linear regression and weighted quantile sum (WQS) regression were used to evaluate the associations of single and mixed chemicals with PhenoAgeAccel. Stratified analyses by chronological age and lifestyle were also performed. Individual phthalates were positively associated with PhenoAgeAccel. The WQS model found the positive relationship between mixed chemicals with PhenoAgeAccel (β = 0.175, 95%CI: 0.001, 0.349). The adverse impacts of phenols and phthalates on biological aging were stronger in older participants with significant interactions. Adherence to healthier lifestyle might partly reduce the positive relationships of phenols and phthalates with biological aging, especially among older adults, which is expected to be a viable intervention in the future.

Reproductive factors and biological aging: the association with all-cause and cause-specific premature mortality

STUDY QUESTION

Are reproductive factors associated with biological aging, and does biological aging mediate the associations of reproductive factors with premature mortality?

SUMMARY ANSWER

Multiple reproductive factors are related to phenotypic age acceleration (PhenoAge-Accel), while adherence to a healthy lifestyle mitigates these harmful effects; PhenoAge-Accel mediated the associations between reproductive factors and premature mortality.

WHAT IS KNOWN ALREADY

Accelerated aging is a key contributor to mortality, but knowledge about the effect of reproductive factors on aging is limited.

STUDY DESIGN, SIZE, DURATION

This prospective cohort study included 223 729 women aged 40-69 years from the UK biobank in 2006-2010 and followed up until 12 November 2021.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Reproductive factors were collected through a touchscreen questionnaire. Biological aging was assessed through PhenoAge-Accel. Multiple linear regression models were used to examine the relationships of reproductive factors with PhenoAge-Accel and estimate the modified effect of a healthy lifestyle. Furthermore, we applied mediation analysis to explore the mediating role of PhenoAge-Accel in the associations between reproductive factors and premature mortality.

MAIN RESULTS AND THE ROLE OF CHANCE

Early menarche (<12 years vs 13 years, β: 0.37, 95% CI: 0.30, 0.44), late menarche (≥15 years vs 13 years, β: 0.18, 95% CI: 0.11, 0.25), early menopause (<45 years vs 50-51 years, β: 0.62, 95% CI: 0.51, 0.72), short reproductive lifespan (<30 years vs 35-39 years, β: 0.81, 95% CI: 0.70, 0.92), nulliparity (vs two live births, β: 0.36, 95% CI: 0.30, 0.43), high parity (≥4 vs 2 live births, β: 0.49, 95% CI: 0.40, 0.59), early age at first live birth (<20 years vs 25-29 years, β: 0.66, 95% CI: 0.56, 0.75), and stillbirth (β: 0.51, 95% CI: 0.36, 0.65) were associated with increased PhenoAge-Accel. Furthermore, PhenoAge-Accel mediated 6.0%-29.7% of the associations between reproductive factors and premature mortality. Women with an unfavorable lifestyle and reproductive risk factors had the highest PhenoAge-Accel compared to those with a favorable lifestyle and without reproductive risk factors.

LIMITATIONS, REASONS FOR CAUTION

The participants in the UK Biobank were predominantly of White ethnicity; thus, caution is warranted when generalizing these findings to other ethnic groups.

WIDER IMPLICATIONS OF THE FINDINGS

Our findings reveal the harmful effects of multiple reproductive factors on biological aging and the mediating role of biological aging in the associations between reproductive factors and premature mortality. They highlight the significance of adhering to a healthy lifestyle to slow biological aging as a potential way to reduce premature mortality among women with reproductive risk factors.

STUDY FUNDING/COMPETING INTEREST(S)

This study was funded by the National Natural Science Foundation of China (82003479, 82073660, 72204215), Hubei Provincial Natural Science Foundation of China (2023AFB663), Zhejiang Province Public Welfare Technology Application Research Project (GF22H269155), and China Postdoctoral Science Foundation (2019M662646, 2020T130220). The authors have no competing interests to disclose.

TRIAL REGISTRATION NUMBER

N/A.

Association between ultra-processed food intake and biological ageing in US adults: findings from National Health and Nutrition Examination Survey (NHANES) 2003-2010

BACKGROUND

The association between ultra-processed food (UPF) intake and markers of biological ageing has been scarcely investigated, despite the evident adverse health effects associated with UPF. This study aimed to test the association between UPF intake and biological ageing, and evaluate how much of this association is accounted for by overall diet quality.

METHODS

This cross-sectional study assessed 16 055 participants aged 20-79 years (51% women, 46 ± 0.3 years) from the National Health and Nutrition Examination Survey (NHANES) 2003-2010. Dietary UPF intake was assessed using the Nova system. Values were expressed as % of total energy intake and were denominated as a continuous variable and in quintiles. Diet quality was assessed with the American Heart Association 2020 and the Healthy Eating Index 2015. Biological ageing was assessed using the PhenoAge algorithm.

RESULTS

For each 10% of energy intake accounted for by UPF, participants were 0.21 (95%CI 0.16-0.26) years biologically older in terms of PhenoAge. As compared to participants in the lowest UPF quintile (≤39%), those in the highest UPF quintile (68-100%) were 0.86 (95% CI 0.55, 1.16) years older (P-for-trend across quintiles ≤0.001). Adherence to a healthy diet moderately attenuated the relationship between UPF and PhenoAge (adjusted β = 0.14 per 10% increment of UPF).

CONCLUSIONS

Adults with higher UPF tended to be biologically older. This association is partly independent of diet quality, suggesting that food processing may contribute to biological ageing acceleration. Our findings point to a compelling reason to target UPF consumption to promote healthier ageing.

Advanced liver fibrosis, but not MASLD, is associated with accelerated biological aging: a population-based study

BACKGROUND

The process of biological aging in patients diagnosed with chronic liver disease remains unclear.

AIM

The current study aims to investigate if there is an accelerated biological aging process in participants with advanced fibrosis (AF) and metabolic dysfunction-associated steatotic liver disease (MASLD).

METHODS

Data from the 2017-2018 NHANES cycle were analyzed. AF was determined based on the values of liver stiffness measurement (LSM) and MASLD was defined according to new consensus nomenclature. Klemera-Doubal method biological age (KDM bioage) and Phenotypic age (Phenoage) were adopted to quantify biological age. Phenoage advancement (Phenoage_advance) and KDM advancement (KDM_advance) were generated as the difference between the calculated biological age and chronological age, and a positive residual was regarded as an indicator of accelerated biological aging.

RESULTS

A total of 3974 participants was enrolled. The weight mean KDM_advance and phenoage_advance in AF group was 4.22 years (95%CI: 2.96-5.49 years) and 2.61 years (95%CI: 1.80-3.41 years), while in MASLD group was 0.37 years (95%CI: -0.28-1.03 years) and 0.04 years (95%CI: -0.64-0.72 years), respectively. Multivariate linear regression analysis showed that participants with AF had older KDM_advance and phenoage_advance compared with those without AF (1.50 years (95%CI: 0.23-2.77 years), P = 0.02; 1.00 years (95%CI: 0.18-1.82 years), P = 0.02; respectively), in models adjusting demographic characteristics, socioeconomic status, lifestyle factors, and comorbidities. No significant association was found between MASLD and KDM_advance and phenoage_advance.

CONCLUSIONS

AF, not MASLD, was independently associated with accelerated biological aging in adults from a US representative sample.

Associations between ethylene oxide exposure and biological age acceleration: evidence from NHANES 2013-2016

Introduction

Population aging is a global concern, with the World Health Organization predicting that by 2030, one in six individuals worldwide will be 60 years or older. Ethylene oxide (EO) is a widely used industrial chemical with potential health risks, including associations with age-related diseases. This study investigates the relationship between EO exposure and biological age acceleration.

Method

Data from the National Health and Nutrition Examination Survey (NHANES) 2013-2016 were analyzed, including 3,155 participants after exclusions. Blood EO levels were measured using hemoglobin adducts (HbEO). Biological age acceleration was assessed using two methods: Phenotypic Age Acceleration (PhenoAgeAccel) and Klemera-Doubal Method Age Acceleration (KDM-AA). Linear and logistic regression models were applied, adjusting for various covariates, and restricted cubic spline (RCS) regression was used to explore non-linear associations.

Results

Higher EO exposure was significantly associated with increased PhenoAgeAccel and KDM-AA across all models. In the continuous model, substantial positive associations were observed (PhenoAgeAccel: β = 0.73, p < 0.001; KDM-AA: β = 0.66, p < 0.001) in Model 3. Quintile analysis indicated a trend of increasing biological age acceleration with higher EO exposure. RCS regression demonstrated a significant linear relationship between EO exposure and PhenoAgeAccel (p for non-linearity = 0.067), as well as with KDM-AA (p for non-linearity = 0.083). Subgroup and interaction analyses revealed significant modifying effects by factors such as body mass index, gender, diabetes status, and physical activity level.

Conclusion

Our study demonstrates a significant association between EO exposure and accelerated biological aging. These findings highlight the need for further prospective and mechanistic studies to validate and explore this phenomenon.

Association between life's essential 8 and cognitive impairment in older patients: results from NHANES 2011-2014

BACKGROUND

This study aimed to examine the association between the American Heart Association's (AHA) newly revised Life's Essential 8 (LE8) algorithm, designed for assessing cardiovascular health (CVH), and cognitive impairment among older adults in the United States.

METHODS

This study employed a cross-sectional design, utilizing data from the 2011-2014 National Health and Nutrition Examination Survey to explore the relationship between CVH and cognitive impairment in older adults. CVH scores are assessed based on the AHA definition of the LE8, categorized into three tiers: low (0-49), medium (50-79), and high (80-100). Cognitive impairment is evaluated using three distinct scoring systems: the Consortium to Establish a Registry for Alzheimer's Disease (CERAD), the Animal Fluency Test (AFT), and the Digit Symbol Substitution Test (DSST). The lowest quartile as the cut-off point; below or equal to the lower quartile was considered as low cognitive population, and above the lower quartile was normal population. To analyze the association, multivariable logistic regression and restricted cubic spline (RCS) models were employed.

RESULTS

A significant negative correlation exists between the LE8 and cognitive impairment. After adjusting for multiple variables, the odds ratios (OR) for cognitive impairment, as measured by the CERAD, AFT, and DSST, were compared between patients with high and low CVH. The results indicated OR values of 0.60 (95% CI: 0.36-0.98), 0.72 (95% CI: 0.52-0.97), and 0.29 (95% CI: 0.16-0.53) for the CERAD, AFT, and DSST, respectively. Additionally, the RCS curve demonstrated a significant linear relationship between lifestyle factors encapsulated by the LE8 and cognitive impairment.

CONCLUSIONS

The findings indicate higher adherence to LE8 was associated with lower odds of cognitive impairment. Furthermore, maintaining optimal CVH is crucial in preventing cognitive impairment.

Exploring multi-omics and clinical characteristics linked to accelerated biological aging in Asian women of reproductive age: insights from the S-PRESTO study

BACKGROUND

Phenotypic age (PhenoAge), a widely used marker of biological aging, has been shown to be a robust predictor of all-cause mortality and morbidity in different populations. Existing studies on biological aging have primarily focused on individual domains, resulting in a lack of a comprehensive understanding of the multi-systemic dysregulation that occurs in aging.

METHODS

PhenoAge was evaluated based on a linear combination of chronological age (CA) and 9 clinical biomarkers in 952 multi-ethnic Asian women of reproductive age. Phenotypic age acceleration (PhenoAgeAccel), an aging biomarker, represents PhenoAge after adjusting for CA. This study conducts an in-depth association analysis of PhenoAgeAccel with clinical, nutritional, lipidomic, gut microbiome, and genetic factors.

RESULTS

Higher adiposity, glycaemia, plasma saturated fatty acids, kynurenine pathway metabolites, GlycA, riboflavin, nicotinamide, and insulin-like growth factor binding proteins were positively associated with PhenoAgeAccel. Conversely, a healthier diet and higher levels of pyridoxal phosphate, all-trans retinol, betaine, tryptophan, glutamine, histidine, apolipoprotein B, and insulin-like growth factors were inversely associated with PhenoAgeAccel. Lipidomic analysis found 132 lipid species linked to PhenoAgeAccel, with PC(O-36:0) showing the strongest positive association and CE(24:5) demonstrating the strongest inverse association. A genome-wide association study identified rs9864994 as the top genetic variant (P = 5.69E-07) from the ZDHHC19 gene. Gut microbiome analysis revealed that Erysipelotrichaceae UCG-003 and Bacteroides vulgatus were inversely associated with PhenoAgeAccel. Integrative network analysis of aging-related factors underscored the intricate links among clinical, nutritional and lipidomic variables, such as positive associations between kynurenine pathway metabolites, amino acids, adiposity, and insulin resistance. Furthermore, potential mediation effects of blood biomarkers related to inflammation, immune response, and nutritional and energy metabolism were observed in the associations of diet, adiposity, genetic variants, and gut microbial species with PhenoAgeAccel.

CONCLUSIONS

Our findings provide a comprehensive analysis of aging-related factors across multiple platforms, delineating their complex interconnections. This study is the first to report novel signatures in lipidomics, gut microbiome and blood biomarkers specifically associated with PhenoAgeAccel. These insights are invaluable in understanding the molecular and metabolic mechanisms underlying biological aging and shed light on potential interventions to mitigate accelerated biological aging by targeting modifiable factors.

Unveiling Relationship Between Specific Domain, Intensity, and Dose of Physical Activity and Biological Age: A Cross-Sectional Study

Existing studies have separately explored the association between specific intensity and domain of physical activity (PA) and biological age (BA), potentially impeding more precise guide. We used data of 5216 middle-aged and older adults aged 45 and over to explore and compare the relationship of different domains, intensities, and doses of PA and BA. Transport-related walking and leisure-time moderate-intensity PA (MPA) were significantly associated with younger BA, rather than other intensity of work-related PA. There were U-shaped dose-response relationships between transport-related BA or leisure-time MPA and BA. In subgroup analyses for older adults, all intensities of PA were significantly associated with decreased BA. These findings highlighted the importance of considering the domain, intensity, and dose of PA in designing effective age-delaying interventions.

Dose response of leisure time physical activity and biological aging in type 2 diabetes: a cross sectional study

To investigate the relationship between Leisure time physical activity (LTPA) patterns and PhenoAgeAccel in patients with Type 2 diabetes (T2D), emphasizing the role of regular LTPA in mitigating biological aging. This study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, including 4,134 adults with T2D. Multivariable linear regression models and restricted cubic spline (RCS) methods were employed to assess the relationship between LTPA and Phenotypic age acceleration (PhenoAgeAccel), with segmented likelihood ratio tests to detect nonlinear thresholds. Stratified regression and interaction tests were conducted for robust analysis. Compared to individuals with no LTPA patterns, those with regular LTPA patterns had significantly lower PhenoAgeAccel scores (β = -1.164, 95% CI: -1.651 to -0.677, P < 0.0001), while the "Weekend Warrior" and "Inactive-LTPA" patterns showed no significant effects. A nonlinear threshold effect was identified; below 594.57 min of weekly LTPA, there was a significant negative correlation (β = -0.002, 95% CI: -0.003 to -0.001, P = 0.000), with gender-specific effects present. Regular LTPA significantly reduces phenotypic age acceleration in T2D patients, with a nonlinear threshold effect indicating that moderate physical activity is most beneficial. These findings highlight the necessity of personalized physical activity recommendations and provide evidence for public health strategies to promote healthy aging in T2D patients.

Association between the Planetary Health Diet Index and biological aging among the U.S. population

Background

The Planetary Health Diet (PHD) is a novel dietary pattern proposed by the EAT-Lancet Commission in 2019, yet a limited study has investigated the anti-aging effects of PHD to date.

Objectives

This study aimed to explore the association between adherence to PHD, as quantified by the Planetary Health Diet Index (PHDI), and biological aging in American populations.

Methods

Data were obtained from the National Health and Nutrition Examination Survey (NHANES) for 1999-2018. Food consumption information was relied on two 24-h diet recall questionnaires. The biological aging condition was comprehensively assessed by four biological markers, including phenotypic age, biological age, telomere length, and klotho concentration. Weighted multivariate linear models, restricted cubic spline (RCS), and subgroup analysis were subsequently carried out to evaluate the influence of PHDI on biological aging.

Results

44,925 participants with complete data were finally enrolled in our study. The fully adjusted models showed decreased 0.20 years in phenotypic age [-0.20 (-0.31, -0.10)] and declined 0.54 years in biological age [-0.54 (-0.69, -0.38)] correlated with PHDI per 10 scores increment. Klotho concentration [6.2 (1.0, 11.0)] was positively related to PHDI. In Model 2, telomere length increased by 0.02 bp for every 10-point rise in PHDI. Besides, the RCS analysis results exhibited a curvilinear relationship between PHDI and four indicators.

Conclusion

Our study explored a significant correlation between PHDI and biological aging, indicating that adherence to PHD may prevent biological aging.

Dose-response relationship between leisure-time physical activity patterns and phenotypic age acceleration in American adults: A cross-sectional analysis

Background/Objectives

With the accelerating global population aging, delaying aging and promoting healthy aging have become focal points in public health and clinical medicine. Phenotypic age acceleration (PhenoAgeAccel) is an important indicator of biological aging speed. This study aims to explore the relationship between different leisure-time physical activity (LTPA) patterns and PhenoAgeAccel, analyzing the association and dose-response relationship.

Methods

This study utilized data from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2018, including 14,868 adults. Multivariable linear regression models and restricted cubic spline methods were used to assess the relationship between LTPA and PhenoAgeAccel, with segmented likelihood ratio tests to detect non-linear thresholds. Stratified regression and interaction tests explored potential modifications by sex, age, race, and socioeconomic status.

Results

Compared to individuals with no LTPA, those with inactive and regular LTPA patterns had significantly lower PhenoAgeAccel scores (P < 0.05), while the weekend warrior pattern showed no significant effect (P > 0.05). A non-linear threshold effect was found; below 560 min of weekly LTPA, a significant negative correlation existed (β = -0.001, 95 % CI: 0.001 to -0.0003, P < 0.001). Above this threshold, LTPA was positively correlated with PhenoAgeAccel, indicating a risk for accelerated aging (β = 0.0003, 95 % CI: 0.00002 to 0.001, P = 0.03). Similar non-linear threshold effects were found for both males and females.

Conclusion

Regular LTPA significantly reduces phenotypic age acceleration, with a non-linear threshold effect indicating moderate physical activity is most beneficial. The weekend warrior pattern was less effective. These findings highlight the necessity of personalized physical activity recommendations and provide evidence for public health strategies to promote healthy aging.

Dose-response relationship of dietary Omega-3 fatty acids on slowing phenotypic age acceleration: a cross-sectional study

Purpose

This study investigates the association between dietary Omega-3 fatty acid intake and accelerated phenotypic aging, referred to as PhenoAgeAccel. PhenoAgeAccel is defined as the difference between phenotypic biological age, calculated using blood biochemical markers, and chronological age. This study assesses the potential of Omega-3 intake to slow biological aging and its implications for public health.

Methods

Utilizing data from the NHANES from 1999 to 2018, this cross-sectional study included 20,337 adult participants. Through a nationally representative sample combined with comprehensive phenotypic age calculation methods, a cross-sectional analysis of Omega-3 fatty acid intake and accelerated phenotypic aging was conducted. Weighted generalized linear regression models and restricted cubic spline analyses were applied to explore the potential non-linear relationships between them. Threshold effects were further clarified through piecewise regression models, and the impact of different demographic and health characteristics was evaluated through interaction effect tests.

Results

After adjusting for various potential confounding factors, a significant negative correlation was found between Omega-3 fatty acid intake and PhenoAgeAccel (β = -0.071; 95% CI: -0.119, -0.024; p = 0.004), indicating that an increase in Omega-3 intake is associated with a slowdown in PhenoAgeAccel. Specifically, for each unit increase in Omega-3 intake, the accelerated phenotypic aging decreased by an average of 0.071 units, revealing a significant linear negative correlation between Omega-3 intake and PhenoAgeAccel. Moreover, threshold effect analysis identified an Omega-3 fatty acid intake threshold (1.103 grams/day), beyond which the impact of Omega-3 intake on accelerated phenotypic aging tends to stabilize. Additionally, factors such as gender, age, race, and hypertension may influence the relationship between Omega-3 intake and PhenoAgeAccel, suggesting individual dietary guidance needs in different populations.

Conclusion

This study highlights the potential role of dietary Omega-3 fatty acids in regulating PhenoAgeAccel and supports the strategy of delaying the aging process through dietary interventions to increase Omega-3 intake. The findings of this study contributes to the development of precise nutritional intervention strategies for different populations to optimize healthy longevity.

The study findings demonstrated a significant association between C-reactive protein levels and trabecular bone score : NHANES 2005-2008

OBJECTIVES

The association between C-reactive protein and bone density has been primarily investigated in previous studies, with little to no research investigating its relationship with total bone trabecular score.

METHODS

Data from the NHANES database (500 males and 633 females) were utilized in this study to perform a multiple weighted linear regression analysis to estimate this relationship of CRP and TBS. Subsequently, population characterization, univariate logistic regression analysis, subgroup and interaction analysis were in progress.

RESULTS

Upon covariate adjustment, the analysis revealed a notable negative correlation between CRP and TBS(β=-0.0081,95% CI (-0.0142, -0.0019), P = 0.009). Furthermore, no interactions were detected within any subgroups.

CONCLUSION

This finding enhances our comprehension of the relationship in inflammation and bone health, offering the novel research outlook for the treatment and prevention of osteoporosis and osteoporotic fractures.

Phthalate exposure and markers of biological aging: The mediating role of inflammation and moderating role of dietary nutrient intake

Limited evidence has suggested a relationship between phthalate exposure and biological aging. This study investigated the association between phthalate exposure and biological aging, focusing on the mediating role of inflammation and the interaction with dietary nutrient intake. Data were analyzed from a nationwide cross-sectional survey comprising 12,994 participants aged 18 and above. Eight phthalate metabolites were detected in spot urine samples. Biological aging was assessed using the Klemera-Doubal method-biological age (KDM-BA) acceleration, phenotypic age (PA) acceleration, and homeostatic dysregulation (HD). The systemic immune-inflammation index (SII) evaluated systemic inflammation. The individual and combined associations between phthalate exposure and biological aging were assessed using linear regression, weighted quantile sum (WQS) regression, and quantile g-computation (qgcomp). The participants had a mean age of 47 years, with 50.7 % male and 44.8 % non-Hispanic white. Most phthalate metabolites were positively correlated with KDM-BA acceleration (β = 0.306-0.584), PA acceleration (β = 0.081-0.281), and HD (β = 0.016-0.026). Subgroup analysis indicated that men, older individuals, and non-Hispanic whites are particularly sensitive populations. WQS regression and qgcomp analyses consistently indicated a positive association between mixed phthalate exposure and HD, highlighting MEHHP as the most significant contributing metabolite. Mediation analyses showed inflammation partially mediated the association between phthalate metabolites and biological aging. Significant interactions regarding biological aging were found between specific phthalate metabolites and dietary nutrients (carotenoids, vitamins A, B1, B2, B6, B12, niacin, and selenium) intake. These findings indicated that the association between phthalate exposure and biological aging was mediated by inflammation, with nutrient intake mitigating this effect.

Synergistic impact of 25-hydroxyvitamin D concentrations and physical activity on delaying aging

OBJECTIVE

Our study aims to examine the independent and combined associations of serum 25-hydroxyvitamin D [25(OH)D] concentrations and physical activity (PA) status with phenotypic age (PhenoAge).

METHOD

The analysis included 18,738 participants from the NHANES 2007-2010 & 2015-2018. Phenotypic Age Acceleration (PhenoAgeAccel) was calculated as the residuals from regressing PhenoAge on chronological age. Weighted multivariable logistic regression models were used to analysis the relationship between 25(OH)D and PA with PhenoAgeAccel. Population attributable fraction (PAF) was used to estimate the proportion of PhenoAgeAccel which could be avoided if exposure were eliminated.

RESULTS

The multivariate-adjusted OR (95%CI) for PhenoAgeAccel with high 25(OH)D and adequate PA were 0.657 (0.549,0.787) (p < 0.001) for all, 0.663 (0.538,0.818) (p < 0.001) for participants whose age ≤65years old. Furthermore, there was multiplicative interaction between 25(OH)D and PA in age ≤65 years old group (0.729 (0.542,0.979), p = 0.036). High 25(OH)D level and adequate PA reduced the risk of PhenoAgeAccel by 14.3 % and 14.2 %, respectively. Notably, 30.7 % decrease was attributable to both high 25(OH)D level and engaging in adequate PA concurrently. Combining 25(OH)D above 80.4 nmol/l with PA decreased PhenoAge by 1.291 years (p < 0.001).

CONCLUSION

Higher 25(OH)D level was associated with lower risk of biological ageing. Combining 25(OH)D and PA demonstrated enhanced protective effects, especially in middle or young adults. These findings underscore the importance of outdoor PA in slowing down the aging process.

Decreased cobalamin sensitivity and biological aging acceleration in the general population

BACKGROUND

The evidence on the association between cobalamin (Cbl) and aging or relevant outcomes is limited and controversial. We aimed to investigate the relationships between cobalamin intake- and function-related biomarkers and biological aging.

METHODS

The study encompassed 22,812 participants aged 20 years and older from the National Health and Nutrition Examination Survey. A panel of biomarkers or algorithms was used to assess biological aging, including Klemera-Doubal Age Acceleration (KDMAccel), Phenotypic age acceleration (PhenoAgeAccel), telomere length, α-Klotho, and PhenoAge advancement. Weighted generalized linear regression analysis was used to assess the associations between cobalamin-intake biomarkers (serum cobalamin, cobalamin intake from food, cobalamin supplement use, serum methylmalonic acid [MMA], and homocysteine [Hcy]) and function-related biomarkers (functional cobalamin deficiency and cobalamin insensitivity index).

RESULTS

Among the 22,812 individuals, the weighted mean (SE) age was 48.3 (0.2) years and 48.0% were males. Unexpectedly, serum and dietary cobalamin as well as serum MMA and Hcy levels were positively associated with most indicators of biological aging. Cobalamin sensitivity was assessed by the combination of binary Cbllow/high and MMAlow/high or Hcylow/high (cutoff values: 400 pg/mL for cobalamin, 250 nmol/L for MMA, and 12.1 μmol/l for Hcy) and a newly constructed cobalamin insensitivity index (based on the multiplicative term of serum cobalamin and serum MMA or Hcy). The multivariable-adjusted β (95%CIs) of KDMAccel in the MMAlowCbllow, MMAlowCblhigh, MMAhighCbllow, and MMAhighCblhigh groups were reference, 0.27 (0.03 to 0.51), 0.85 (0.41 to 1.29), and 7.97 years (5.77 to 10.17) respectively, which were consistent for the combination of serum Hcy and cobalamin. Both cobalamin insensitivity indices were robustly associated with biological aging acceleration in a dose-response pattern (each p < 0.001).

CONCLUSIONS

Decreased cobalamin sensitivity but not cobalamin insufficiency might be associated with biological aging acceleration. Further studies would improve understanding of the underlying mechanisms between decreased cobalamin sensitivity and biological aging acceleration.

Association between single and mixed exposure to polycyclic aromatic hydrocarbons and biological aging

Background

Aging is one of the most important public health issues. Previous studies on the factors affecting aging focused on genetics and lifestyle, but the association between polycyclic aromatic hydrocarbons (PAHs) and aging is still unclear.

Methods

This study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2003-2010. A total of 8,100 participants was used to construct the biological age predictors by using recent advanced algorithms Klemera-Doubal method (KDM) and Mahalanobis distance. Two biological aging indexes, recorded as KDM-BA acceleration and PhenoAge acceleration, were used to investigate the relationship between single PAHs and biological age using a multiple linear regression analysis, and a weighted quantile sum (WQS) model was constructed to explore the mixed effects of PAHs on biological age. Finally, we constructed the restricted cubic spline (RCS) model to assess the non-linear relationship between PAHs and biological age.

Results

Exposure to PAHs was associated with PhenoAge acceleration. Each unit increase in the log10-transformed level of 1-naphthol, 2-naphthol, and 2-fluorene was associated with a 0.173 (95% CI: 0.085, 0.261), 0.310 (95% CI: 0.182, 0.438), and 0.454 (95% CI: 0.309, 0.598) -year increase in PhenoAge acceleration, respectively (all corrected P < 0.05). The urinary PAH mixture was relevant to KDM-BA acceleration (β = 0.13, 95% CI: 0, 0.26, P = 0.048) and PhenoAge acceleration (β = 0.59, 95% CI: 0.47, 0.70, P < 0.001), and 2-naphthol had the highest weight in the weighted quantile sum (WQS) regression. The RCS analyses showed a non-linear association between 2-naphthol and 2-fluorene with KDM-BA acceleration (all P < 0.05) in addition to a non-linear association between 1-naphthol, 2-naphthol, 3-fluorene, 2-fluorene, and 1-pyrene with PhenoAge acceleration (all P < 0.05).

Conclusion

Exposure to mixed PAHs is associated with increased aging, with 2-naphthol being a key component of PAHs associated with aging. This study has identified risk factors in terms of PAH components for aging.

Diet, Pace of Biological Aging, and Risk of Dementia in the Framingham Heart Study

OBJECTIVE

People who eat healthier diets are less likely to develop dementia, but the biological mechanism of this protection is not well understood. We tested the hypothesis that healthy diet protects against dementia because it slows the pace of biological aging.

METHODS

We analyzed Framingham Offspring Cohort data. We included participants ≥60 years-old, free of dementia and having dietary, epigenetic, and follow-up data. We assessed healthy diet as long-term adherence to the Mediterranean-Dash Intervention for Neurodegenerative Delay diet (MIND, over 4 visits spanning 1991-2008). We measured the pace of aging from blood DNA methylation data collected in 2005-2008 using the DunedinPACE epigenetic clock. Incident dementia and mortality were defined using study records compiled from 2005 to 2008 visit through 2018.

RESULTS

Of n = 1,644 included participants (mean age 69.6, 54% female), n = 140 developed dementia and n = 471 died over 14 years of follow-up. Greater MIND score was associated with slower DunedinPACE and reduced risks for dementia and mortality. Slower DunedinPACE was associated with reduced risks for dementia and mortality. In mediation analysis, slower DunedinPACE accounted for 27% of the diet-dementia association and 57% of the diet-mortality association.

INTERPRETATION

Findings suggest that slower pace of aging mediates part of the relationship of healthy diet with reduced dementia risk. Monitoring pace of aging may inform dementia prevention. However, a large fraction of the diet-dementia association remains unexplained and may reflect direct connections between diet and brain aging that do not overlap other organ systems. Investigation of brain-specific mechanisms in well-designed mediation studies is warranted. ANN NEUROL 2024;95:1069-1079.

Joint association of diabetes mellitus and inflammation status with biological ageing acceleration and premature mortality

BACKGROUND

We aimed to investigate the associations of diabetes mellitus (DM) and C-reactive protein (CRP) with biological ageing acceleration and mortality risk.

METHODS

We analyzed data from 41,634 adults with CRP and DM at baseline. Subjects were categorized into high CRP (>3 mg/L) and low CRP (≤3 mg/L) groups. The cross-sectional endpoints of the study were biological ageing indicators Klemera-Doubal method BioAge acceleration (KDMAccel) and Phenotypic age acceleration (PhenoAgeAccel), and the follow-up endpoints were all-cause mortality and cardiovascular mortality.

RESULTS

In adults with high CRP, compared with those without DM, PhenoAgeAccel increased by 1.66 years (95 % CI: 1.38-1.93), and 8.74 years (95 % CI: 8.25-9.22) in adults with prediabetes and DM, respectively (p for interaction <0.001). Using the CRPlow/non-DM group as a reference, adults in the CRPhigh/non-DM, CRPlow/DM, and CRPhigh/DM groups had significantly advanced biological ageing. Compared to adults without DM, low CRP, and no ageing acceleration, the multivariable-adjusted HRs (95%CIs) of all-cause and cardiovascular mortality in those with DM, CRP, and ageing acceleration were 3.22 (2.79-3.72), and 3.57 (2.81-4.54), respectively.

CONCLUSIONS

These findings suggest that the joint presence of low-grade inflammation and DM might be associated with higher odds of biological ageing acceleration and premature mortality.

Healthy Japanese dietary pattern is associated with slower biological aging in older men: WASEDA'S health study

Aging is the greatest risk factor for numerous diseases and mortality, and establishing geroprotective interventions targeting aging is required. Previous studies have suggested that healthy dietary patterns, such as the Mediterranean diet, are associated with delayed biological aging; however, these associations depend on nationality and sex. Therefore, this study aimed to investigate the relationship between dietary patterns identified through principal component analysis and biological aging in older men of Japan, one of the countries with the longest life expectancies. Principal component analysis identified two dietary patterns: a healthy Japanese dietary pattern and a Western-style dietary pattern. Eight epigenetic clocks, some of the most accurate aging biomarkers, were identified using DNA methylation data from whole-blood samples. Correlation analyses revealed that healthy Japanese dietary patterns were significantly negatively or positively correlated with multiple epigenetic age accelerations (AgeAccel), including AgeAccelGrim, FitAgeAccel, and age-adjusted DNAm-based telomere length (DNAmTLAdjAge). Conversely, the Western-style dietary pattern was observed not to correlate significantly with any of the examined AgeAccels or age-adjusted values. After adjusting for covariates, the healthy Japanese dietary pattern remained significantly positively correlated with DNAmTLAdjAge. Regression analysis showed that healthy Japanese dietary pattern contributed less to epigenetic age acceleration than smoking status. These findings suggest that a Western-style dietary pattern may not be associated with biological aging, whereas a healthy Japanese dietary pattern is associated with delayed biological aging in older Japanese men. Our findings provide evidence that healthy dietary patterns may have mild beneficial effects on delayed biological aging in older Japanese men.

Epigenetic aging in older people living with HIV in Eswatini: a pilot study of HIV and lifestyle factors and epigenetic aging

BACKGROUND

People living with HIV (PLHIV) on effective antiretroviral therapy are living near-normal lives. Although they are less susceptible to AIDS-related complications, they remain highly vulnerable to non-communicable diseases. In this exploratory study of older PLHIV (OPLHIV) in Eswatini, we investigated whether epigenetic aging (i.e., the residual between regressing epigenetic age on chronological age) was associated with HIV-related parameters, and whether lifestyle factors modified these relationships. We calculated epigenetic aging focusing on the Horvath, Hannum, PhenoAge and GrimAge epigenetic clocks, and a pace of biological aging biomarker (DunedinPACE) among 44 OPLHIV in Eswatini.

RESULTS

Age at HIV diagnosis was associated with Hannum epigenetic age acceleration (EAA) (β-coefficient [95% Confidence Interval]; 0.53 [0.05, 1.00], p = 0.03) and longer duration since HIV diagnosis was associated with slower Hannum EAA (- 0.53 [- 1.00, - 0.05], p = 0.03). The average daily dietary intake of fruits and vegetables was associated with DunedinPACE (0.12 [0.03, 0.22], p = 0.01). The associations of Hannum EAA with the age at HIV diagnosis and duration of time since HIV diagnosis were attenuated when the average daily intake of fruits and vegetables or physical activity were included in our models. Diet and self-perceived quality of life measures modified the relationship between CD4+ T cell counts at participant enrollment and Hannum EAA.

CONCLUSIONS

Epigenetic age is more advanced in OPLHIV in Eswatini in those diagnosed with HIV at an older age and slowed in those who have lived for a longer time with diagnosed HIV. Lifestyle and quality of life factors may differentially affect epigenetic aging in OPLHIV. To our knowledge, this is the first study to assess epigenetic aging in OPLHIV in Eswatini and one of the few in sub-Saharan Africa.

Relationship between dietary macronutrients intake and biological aging: a cross-sectional analysis of NHANES data

PURPOSE

This study aimed to investigate the association between macronutrient intake and biological age.

METHODS

Data were collected from 26,381 adults who participated in the United States National Health and Nutrition Examination Survey (NHANES). Two biological ages were estimated using the Klemera-Doubal method (KDM) and PhenoAge algorithms. Biological age acceleration (AA) was computed as the difference between biological age and chronological age. The associations between macronutrient intakes and AA were investigated.

RESULTS

After fully adjusting for confounding factors, negative associations were observed between AA and fiber intake (KDM-AA: β - 0.53, 95% CI - 0.62, - 0.43, P < 0.05; PhenoAge acceleration: β - 0.30, 95% CI - 0.35, - 0.25, P < 0.05). High-quality carbohydrate intake was associated with decreased AA (KDM-AA: β - 0.57, 95% CI - 0.67, - 0.47, P < 0.05; PhenoAge acceleration: β - 0.32, 95% CI - 0.37, - 0.26, P < 0.05), while low-quality carbohydrate was associated with increased AA (KDM-AA: β 0.30, 95% CI 0.21, 0.38, P < 0.05; PhenoAge acceleration: β 0.16, 95% CI 0.11, 0.21, P < 0.05). Plant protein was associated with decreased AA (KDM-AA: β - 0.39, 95% CI - 0.51, - 0.27, P < 0.05; PhenoAge acceleration: β - 0.21, 95% CI - 0.26, - 0.15, P < 0.05). Long-chain SFA intake increased AA (KDM-AA: β 0.16, 95% CI 0.08, 0.24, P < 0.05; PhenoAge acceleration: β 0.11, 95% CI 0.07, 0.15, P < 0.05). ω-3 PUFA was associated with decreased KDM-AA (β - 0.18, 95% CI - 0.27, - 0.08, P < 0.05) and PhenoAge acceleration (β - 0.09, 95% CI - 0.13, - 0.04, P < 0.05).

CONCLUSION

Our findings suggest that dietary fiber, high-quality carbohydrate, plant protein, and ω-3 PUFA intake may have a protective effect against AA, while low-quality carbohydrate and long-chain SFA intake may increase AA. Therefore, dietary interventions aimed at modifying macronutrient intakes may be useful in preventing or delaying age-related disease and improving overall health.

Composite dietary antioxidant index associated with delayed biological aging: a population-based study

OBJECTIVE

The objective of this study was to explore the potential correlation between the composite dietary antioxidant index (CDAI) and biological aging, addressing the insufficient epidemiological evidence in this area.

METHODS

Participants meeting eligibility criteria were selected from the National Health and Nutrition Examination Surveys (NHANES) conducted between 2001 and 2018. CDAI was determined based on dietary antioxidants obtained from 24-hour dietary recalls. Biological age was determined using PhenoAge algorithms incorporating various clinical features. Weighted multiple models were employed to investigate and assess the association between CDAI and biological age.

RESULTS

Analysis of the CDAI quartile revealed disparities in terms of age, gender, ethnicity, educational level, marital status, poverty, dietary calories intakes, smoking, drinking status, BMI, physical activity, and PhenoAge. After adjusting for potential confounding factors, a significant inverse relationship was found between CDAI and Phenotypic Age, with each standard deviation increase in CDAI score correlating with a 0.18-year decrease in Phenotypic Age. These negative correlations between CDAI and PhenoAge advancement were observed regardless of age, gender, physical activity status, smoking status, and body mass index.

CONCLUSIONS

Our findings demonstrate a positive relationship between higher CDAI scores and delayed biological aging. These results have significant implications for public health initiatives aimed at promoting healthy aging through dietary interventions.

Geroscience-Centric Perspective for Geriatric Psychiatry: Integrating Aging Biology With Geriatric Mental Health Research

The geroscience hypothesis asserts that physiological aging is caused by a small number of biological pathways. Despite the explosion of geroscience research over the past couple of decades, the research on how serious mental illnesses (SMI) affects the biological aging processes is still in its infancy. In this review, we aim to provide a critical appraisal of the emerging literature focusing on how we measure biological aging systematically, and in the brain and how SMIs affect biological aging measures in older adults. We will also review recent developments in the field of cellular senescence and potential targets for interventions for SMIs in older adults, based on the geroscience hypothesis.

Healthy Diets and Lifestyles in the World: Mediterranean and Blue Zone People Live Longer. Special Focus on Gut Microbiota and Some Food Components

Longevity has been associated with healthy lifestyles, including some dietary regimens, such as the Mediterranean diet (MedDiet) and the Blue Zone (BZ) diets. MedDiet relies on a large consumption of fruit, vegetables, cereals, and extra-virgin olive oil, with less red meat and fat intake. Four major BZ have been recognized in the world, namely, Ogliastra in Sardinia (Italy), Ikaria (Greece), the Peninsula of Nicoya (Costa Rica), and Okinawa (Japan). Extreme longevity in these areas has been associated with correct lifestyles and dietary regimens. Fibers, polyphenols, beta-glucans, and unsaturated fatty acids represent the major constituents of both MedDiet and BZ diets, given their anti-inflammatory and antioxidant activities. Particularly, inhibition of the NF-kB pathway, with a reduced release of pro-inflammatory cytokines, and induction of T regulatory cells, with the production of the anti-inflammatory cytokine, interleukin- 10, are the main mechanisms that prevent or attenuate the "inflammaging." Notably, consistent physical activity, intense social interactions, and an optimistic attitude contribute to longevity in BZD areas. Commonalities and differences between MedDIet and BZ diets will be outlined, with special reference to microbiota and food components, which may contribute to longevity.

Single- and combined-phthalate exposures are associated with biological ageing among adults

BACKGROUND

Previous research has emphasized the effects of lifestyle and genetics on ageing. However, the association between exposure to phthalates, which are extensively used in cosmetics and personal care products, and ageing is still unclear.

METHOD

Data for 4711 subjects from the National Health and Nutrition Examination Survey (NHANES) from 2005 to 2010 were incorporated in the present study. The acceleration of the Klemera-Doubal method-biological age (KDM-BA) and phenotypic Age (PhenoAge) were measured by the composite of 13 biomarkers. Multiple-linear and weighted-quantile sum (WQS) regression models were constructed to explore the relationships of single- and combined-phthalate exposures, as indicated by urinary phthalate metabolites, with KDM-BA and PhenoAge. A generalized additive model (GAM) was fitted to explore the potential nonlinear relationships among the above variables.

RESULTS

Except for mono-(carboxynonyl), all urinary phthalate metabolites were associated with biological ageing, with correlation coefficients ranging from 0.241 to 0.526; however, mono-ethyl presented a negative correlation. The WQS models revealed mixed effects of combined urinary phthalate metabolites on ageing, with a 0.22-year ((95 % CI) 0.09, 0.32) increase in KDM-BA acceleration and a 0.27-year ((95 % CI) 0.13, 0.37) increase in PhenoAge acceleration for each decile increase in urinary phthalate metabolites. Moreover, MCPP, MEOHP, and MBzP seemed to be the top three phthalates in terms of biological ageing, with weights of 33.3 % and 32.2 %, 29.2 % and 17.2 %, and 21.5 % and 30.1 % in KDM-BA and PhenoAge acceleration, respectively.

CONCLUSION

Single-phthalate exposure was mostly associated with the ageing process, and combined-phthalate exposure presented mixed effects on biological ageing, emphasizing phthalate exposure as a significant risk factor for ageing.

Partnership status and positive DNA methylation age acceleration across the adult lifespan in the UK

Although a significant body of research has shown that married people are healthier and live longer, empirical research on sex differences in the link between marital status and health suggests results are mixed. Moreover, the sex disparities in marital status and health relationships vary across adulthood. The literature on partnership status and measures of ageing is largely focused on older age groups and is limited in its view of early adulthood. Data from waves 2 and 3 (2010-2012) of Understanding Society: UKHLS were used to examine the association of current partnership status with epigenetic age acceleration (AA) assessed with DNA methylation (DNAm) algorithms 'Phenoage' and ' DunedinPACE ' in 3492 participants (aged 16-97). Regression models were estimated separately for men and women, and further stratified by age groups. Divorced/separated and widowed people showed positive age acceleration compared to the married/cohabiting people (reference group). Some sex differences were apparent, especially, among the single and divorced/separated groups. Age differences were also apparent, for example in men, being single was negatively associated with DNAmAA in the youngest group, but positively in the oldest group compared to partnered counterparts. These findings illustrate the importance of partnerships on the ageing process, in particular marital change through divorce and widowhood for positive age acceleration in adults. For single groups, observations were heterogenous by age and sex.

Associations between the New DNA-Methylation-Based Telomere Length Estimator, the Mediterranean Diet and Genetics in a Spanish Population at High Cardiovascular Risk

Biological aging is a relevant risk factor for chronic diseases, and several indicators for measuring this factor have been proposed, with telomere length (TL) among the most studied. Oxidative stress may regulate telomere shortening, which is implicated in the increased risk. Using a novel estimator for TL, we examined whether adherence to the Mediterranean diet (MedDiet), a highly antioxidant-rich dietary pattern, is associated with longer TL. We determined TL using DNA methylation algorithms (DNAmTL) in 414 subjects at high cardiovascular risk from Spain. Adherence to the MedDiet was assessed by a validated score, and genetic variants in candidate genes and at the genome-wide level were analyzed. We observed several significant associations (p < 0.05) between DNAmTL and candidate genes (TERT, TERF2, RTEL1, and DCAF4), contributing to the validity of DNAmTL as a biomarker in this population. Higher adherence to the MedDiet was associated with lower odds of having a shorter TL in the whole sample (OR = 0.93; 95% CI: 0.85-0.99; p = 0.049 after fully multivariate adjustment). Nevertheless, this association was stronger in women than in men. Likewise, in women, we observed a direct association between adherence to the MedDiet score and DNAmTL as a continuous variable (beta = 0.015; SE: 0.005; p = 0.003), indicating that a one-point increase in adherence was related to an average increase of 0.015 ± 0.005 kb in TL. Upon examination of specific dietary items within the global score, we found that fruits, fish, "sofrito", and whole grains exhibited the strongest associations in women. The novel score combining these items was significantly associated in the whole population. In the genome-wide association study (GWAS), we identified ten polymorphisms at the suggestive level of significance (p < 1 × 10-5) for DNAmTL (intergenics, in the IQSEC1, NCAPG2, and ABI3BP genes) and detected some gene-MedDiet modulations on DNAmTL. As this is the first study analyzing the DNAmTL estimator, genetics, and modulation by the MedDiet, more studies are needed to confirm these findings.

Epigenetic aging in older people living with HIV in Eswatini: a pilot study of HIV and lifestyle factors and epigenetic aging

Background

People living with HIV (PLHIV) on effective antiretroviral therapy (ART) are living near-normal lives. Although they are less susceptible to AIDS-related complications, they remain highly vulnerable to non-communicable diseases (NCD). In this exploratory study of older PLHIV (OPLHIV) in Eswatini, we investigated whether biological aging (i.e., the difference between epigenetic age and chronological age, termed 'epigenetic age acceleration [EAA]') was associated with HIV-related parameters, and whether lifestyle factors modified these relationships. We calculated EAA focusing on the second-generation epigenetic clocks, PhenoAge and GrimAge, and a pace of aging biomarker (DunedinPACE) among 44 OPLHIV in Eswatini.

Results

Among participants, the PhenoAge clock showed older epigenetic age (68 years old [63, 77]) but a younger GrimAge epigenetic age (median=56 years old [interquartile range=50, 61]) compared to the chronological age (59 years old [54, 66]). Participants diagnosed with HIV at an older age showed slower DunedinPACE (β-coefficient [95% Confidence Interval]; -0.02 [-0.04, -0.01], p=0.002) and longer duration since HIV diagnosis was associated with faster DunedinPACE (0.02 [0.01, 0.04], p=0.002). The average daily dietary intake of fruits and vegetables was associated with faster DunedinPACE (0.12 [0.03, 0.22], p=0.01) and modified the relationship between HIV status variables (number of years living with HIV since diagnosis, age at HIV diagnosis, CD4+ T cell counts) and PhenoAge EAA, and DunedinPACE.

Conclusions

Biological age is accelerated in OPLHIV in Eswatini, with those living with HIV for a longer duration at risk for faster biological aging. Lifestyle factors, especially healthier diets, may attenuate biological aging in OPLHIV. To our knowledge, this is the first study to assess biological aging in Eswatini and one of the few in sub-Saharan Africa.

Aging measures and cancer: Findings from the Health and Retirement Study

Background

Compared to cancer-free persons, cancer survivors of the same chronological age (CA) have increased physiological dysfunction, i.e., higher biological age (BA), which may lead to higher morbidity and mortality. We estimated BA using eight aging metrics: BA computed by Klemera Doubal method (KDM-BA), phenotypic age (PhenoAge), five epigenetic clocks (ECs, Horvath, Hannum, Levine, GrimAge, and pace of aging (POA)), and subjective age (SA). We tested if aging constructs were associated with total cancer prevalence and all-cause mortality in cancer survivors and controls, i.e., cancer-free persons, in the Health and Retirement Study (HRS), a large population-based study.

Methods

In 2016, data on BA-KDM, PhenoAge, and SA were available for 946 cancer survivors and 4,555 controls; data for the five ECs were available for 582 cancer survivors and 2,805 controls. Weighted logistic regression was used to estimate the association between each aging construct and cancer prevalence (odds ratio, OR, 95%CI). Weighted Cox proportional hazards regression was used to estimate the associations between each aging construct and cancer incidence as well as all-cause mortality (hazard ratio, HR, 95%CI). To study all BA metrics (except for POA) independent of CA, we estimated age acceleration as residuals of BA regressed on CA.

Results

Age acceleration for each aging construct and POA were higher in cancer survivors than controls. In a multivariable-adjusted model, five aging constructs (age acceleration for Hannum, Horvath, Levine, GrimAge, and SA) were associated with cancer prevalence. Among all cancer survivors, age acceleration for PhenoAge and four ECs (Hannum, Horvath, Levine, and GrimAge), was associated with higher all-cause mortality over 4 years of follow-up. PhenoAge, Hannum, and GrimAge were also associated with all-cause mortality in controls. The highest HR was observed for GrimAge acceleration in cancer survivors: 2.03 (95% CI, 1.58-2.60). In contrast, acceleration for KDM-BA and POA was significantly associated with mortality in controls but not in cancer survivors. When all eight aging constructs were included in the same model, two of them (Levine and GrimAge) were significantly associated with mortality among cancers survivors. None of the aging constructs were associated with cancer incidence.

Conclusion

Variations in the associations between aging constructs and mortality in cancer survivors and controls suggests that aging constructs may capture different aspects of aging and that cancer survivors may be experiencing age-related physiologic dysfunctions differently than controls. Future work should evaluate how these aging constructs predict mortality for specific cancer types.

Diet, pace of biological aging, and risk of dementia in the Framingham Heart Study

INTRODUCTION

We tested the hypothesis that healthy diet protects against dementia because it slows the pace of biological aging.

METHODS

We analyzed Framingham Offspring Cohort data (≥60y). We measured healthy diet using the Dietary Guideline for Americans (DGA, 3 visits 1991-2008), pace of aging using the DunedinPACE epigenetic clock (2005-2008), and incident dementia and mortality using records (compiled 2005-2018).

RESULTS

Of n=1,525 included participants (mean age 69.7, 54% female), n=129 developed dementia and n=432 died over follow-up. Greater DGA adherence was associated with slower DunedinPACE and reduced risks for dementia and mortality. Slower DunedinPACE was associated with reduced risks for dementia and mortality. Slower DunedinPACE accounted for 15% of the DGA association with dementia and 39% of the DGA association with mortality.

DISCUSSION

Findings suggest that slower pace of aging mediates part of the relationship of healthy diet with reduced dementia risk. Monitoring pace of aging may inform dementia prevention.