Bidirectional causal relational between frailty and mental illness: a two-sample Mendelian randomization study

Frontiers in Psychiatry, Год журнала: 2024, Номер 15

Опубликована: Июнь 7, 2024

Background Frailty has been associated with mental illness (MI) observational studies, but the causal relationship between these factors remains uncertain. We aimed to assess bidirectional causality frailty and MI by two-sample Mendelian randomization (MR) analyses. Methods To investigate among them, summary statistics of index (FI) six types MI: anxiety, depression, affective disorder, mania, schizophrenia, obsessive-compulsive disorder (OCD) were included in this MR study. This analysis was performed using inverse variance weighting (IVW), MR-Egger regression, weighted median. The stability results evaluated Cochran’s Q test, intercept Funnel Plots, leave-one-out analysis. Results Genetic predisposition FI significantly increased anxiety (odds ratio [OR] = 1.62, 95% confidence interval [CI] 1.13-2.33, P 8.18E-03), depression (OR 1.88, CI 1.30-2.71, 8.21E-04), 1.70, 1.28-2.27, 2.57E-04). However, our study findings do not demonstrate a mania 1.02, 0.99-1.06, 2.20E-01), schizophrenia 0.07-0.86, 9.28E-01). In particular, although IVW suggest potential OCD 0.64, 2.85E-02), directions obtained from three methods we employed ultimately show inconsistency. Therefore, result must be interpreted caution. reverse indicated statistically significant 1.06, 1.01-1.11, 2.00E-02), 1.14, 1.04-1.26, 7.99E-03), 1.15, 1.09-1.21, 3.39E-07), 1.01-1.04, 1.70E-03) FI. provide support for link 1.46, 0.79-2.72, 2.27E-01), 1.01, 1.00-1.02, 2.11E-01) an risk Conclusion disorder. Schizophrenia found higher evidence insufficient Fl other Ml. These offer new insights into development effective management strategies MI.

Язык: Английский

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Marital and living status and biological ageing trajectories: a longitudinal cohort study with a 20-year follow-up

Biogerontology, Год журнала: 2025, Номер 26(1)

Опубликована: Янв. 8, 2025

Abstract Biomarkers of ageing (BA) can predict health risks beyond chronological age, but little is known about how marital/living status affects longitudinal changes in BA. We examined the association between and BA over time using the-Swedish-Adoption/Twin-Study-of-Aging (SATSA) cohort. Four BAs were analyzed: telomere length (TL) (638 individuals; 1603 measurements), DNAmAge (535 1392 cognition (823 3218 frailty index (FI) (1828 9502 measurements). Individuals born 1900 1948, data on status, BAs, covariates collected through nine waves questionnaires in-person testing from 1986 to 2014. Mixed linear regression with random effects at twin-pair individual levels used assess for constant status. Conditional generalized estimating equation assessed within-individual varying Results showed that individuals who consistently unmarried/non-cohabiting (β = 0.291, 95%CI 0.189–0.393) or living alone 0.203, 0.090–0.316) more frail, experienced accelerated (p-for-interaction age < 0.001 marital status; p-for-interaction 0.002 status) cognitive decline 0.001), compared those married/cohabiting someone Among whose changed, was higher when 0.089, 0.017–0.162) they became 0.001). Cognitive also 0.020). No associations observed TL DNAmAge. In conclusion, being mid-to-old linked frailty. These findings highlight potential importance social support networks arrangements healthy ageing.

Язык: Английский

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Associations Between Frailty and Risk of All-Cause and Cardiovascular Mortality in Patients with Prediabetes: A Population-Based Study

Journal of Multidisciplinary Healthcare, Год журнала: 2025, Номер Volume 18, С. 61 - 70

Опубликована: Янв. 1, 2025

Objective: Diabetes is a well-known risk factor for frailty that has been associated with adverse prognosis. However, the association of all-cause and cardiovascular disease (CVD) mortality in patients prediabetes not thoroughly explored. Methods: Participants were derived from 1999– 2018 National Health Nutrition Examination Survey followed up CVD until December 31, 2019. A index calculated using 49-item deficit accumulation model > 0.21 was used to indicate presence frailty. Kaplan-Meier curves weighted Cox proportional hazards regression assess between mortality. Results: The prevalence 28.21% this cohort 7845 prediabetic participants mean age 62.89 years. During median follow-up time 90 months, total 1983 (636 CVD-related) deaths occurred. Each 0.01 score increase 5% 6% increased CVD-related mortality, respectively. hazard ratio 95% confidence interval group 2.28 (1.89– 2.76) 2.84 (2.01– 4.02), respectively, compared those without Restricted cubic spline analysis showed linear or Similar results observed sensitivity analyses. Conclusion: positively prediabetes, highlighting appropriate screening management may help reduce prediabetes. Keywords: disease, frailty,

Язык: Английский

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Association Between Frailty and Subjective Life Expectancy in Sub-Saharan Africa: Evidence from Cote D'Ivoire

Archives of Gerontology and Geriatrics, Год журнала: 2025, Номер 131, С. 105757 - 105757

Опубликована: Янв. 10, 2025

Язык: Английский

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Long-term smoking contributes to aging frailty and inflammatory response

Biomolecules and Biomedicine, Год журнала: 2025, Номер unknown

Опубликована: Янв. 17, 2025

In recent years, the health challenges linked to frailty in elderly, particularly those worsened by cigarette smoke, have become more pronounced. However, quantitative studies examining impact of smoking dosage on this population remain limited. To address gap, we developed a model using smoke-exposed elderly mice. Fifteen-month-old C57BL/6J mice were exposed smoke from two burning cigarettes for 15 min whole-body chamber. This exposure occurred 4, 6, and 8 times daily 30 days, representing low, medium, high dosages, respectively. Frailty levels assessed through rotation grip strength tests, alongside lung histopathology inflammatory factor protein expression analyses across three groups. Additionally, used Gene Expression Omnibus (GEO) database validate correlation between inflammation smokers, facilitating cross-comparisons animal findings human sample data. Our results show that high-dose significantly prone frailty, with notable reductions maximal (P < 0.01) drop time 0.001). Among samples, 69.2% smokers exhibited phenotype, compared just 15.4% nonsmokers. Both smoking-exposed demonstrated upregulation tumor necrosis factor-α (TNF-α) interleukin-1 β (IL-1β) tissue serum. Mechanistically, activates NF-κB signaling pathway. quantitatively link smoking-induced increased TNF-α IL-1β, providing experimental evidence diagnosis prevention populations.

Язык: Английский

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Development and validation of a prediction model of frailty risk in community-dwelling older adults: From a national longitudinal survey

Public Health, Год журнала: 2025, Номер 240, С. 63 - 70

Опубликована: Янв. 27, 2025

Язык: Английский

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Determinants and risk prediction models for frailty among community-living older adults in eastern China

Frontiers in Public Health, Год журнала: 2025, Номер 13

Опубликована: Март 11, 2025

Objective The purpose of this study is to develop predictive models for frailty risk among community-dwelling older adults in eastern China using machine learning techniques. This approach aims facilitate early detection high-risk individuals and inform the design tailored interventions, with ultimate goals enhancing quality life mitigating progression adult population. Methods involved 1,263 participants aged 60 years or older, who were selected through stratified cluster sampling. Frailty was assessed Tilburg Indicator (TFI), which encompasses physical, psychological, social dimensions. Predictive constructed decision trees, random forests, XGBoost algorithms, implemented R software (version 4.4.2). performance these evaluated metrics such as area under receiver operating characteristic curve (AUC), ROC curves, confusion matrices. Results results showed that 64.77% physically weak. Body mass index (BMI), living arrangements, frequency visits smoking status are main factors contributing frailty. When comparing model metrics, forest extreme Gradient Lift (XGBoost) outperform tree terms accuracy applicability. Conclusion Older communities slight frailty, many influenced their scores. Random predicting adults, so identifying developing personalized interventions can help slow development improve adults.

Язык: Английский

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Modifiable Lifestyle, Sedentary Behaviors and the Risk of Frailty: A Univariate and Multivariate Mendelian Randomization Study

Advanced Biology, Год журнала: 2024, Номер 8(5)

Опубликована: Март 26, 2024

Abstract This research conducted a two‐sample univariate and multivariate Mendelian Randomization (MR) analysis to explore the causal link between different types of leisure sedentary behavior (LSB) frailty. Independent instrumental variables significantly associated with behaviors ( p < 5 × 10 −8 ) are obtained from genome‐wide association study (GWAS) 422,218 individuals, Frailty Index (FI) derived latest GWAS dataset 175,226 individuals. MR is using inverse variance weighting, MR‐Egger, weighted median, simple mode, supplemented by MRAPSS. Univariate revealed that such as watching television increased risk frailty (OR, 1.271; 95% CI: 1.202‐1.345; = 6.952 −17 ), driving done 1.436; 1.026‐2.011; 0.035). Further validation through APSS, taking into account cryptic relatedness, stratification, sample overlap, maintained viewing 1.394; 1.266‐1.534; 1.143 −11 while dissipated. In (IVW) analysis, after adjusting for C‐reactive protein (CRP) levels, Sedentary (SB) inversely affected 0.782; 0.724‐0.845; 4.820 −10 ). indicates televisio SB increases frailty, suggesting potential biological heterogeneity behind specific activities. process may interact inflammation, influencing development

Язык: Английский

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Exploring causality between bone mineral density and frailty: A bidirectional Mendelian randomization study

PLoS ONE, Год журнала: 2024, Номер 19(1), С. e0296867 - e0296867

Опубликована: Янв. 25, 2024

Objective The bidirectional correlation between low bone mineral density (BMD) and frailty, despite its extensive documentation, still lacks a conclusive understanding. objective of this Mendelian randomization (MR) study is to investigate the causal relationship BMD frailty. Methods We utilized summary statistics data for at different skeletal sites—including heel (e-BMD, N = 40,613), forearm (FA-BMD, 8,143), femoral neck (FN-BMD, 32,735), lumbar spine (LS-BMD, 28,489), alongside frailty index (FI, 175,226) in participants European ancestry. MR analysis our was conducted using well-established analytical methods, including inverse variance weighted (IVW), median (WM), MR-Egger approaches. Results observed negative estimates genetically predicted e-BMD (IVW β - 0.020, 95% confidence interval (CI) 0.038, 0.002, P 0.029) FA-BMD -0.035, CI -0.066, -0.004, 0.028) with FI. However, results did not reach statistical significance after applying Bonferroni correction, threshold set < 0.0125 (0.05/4). There no effect FN-BMD 0.024, -0.052, 0.004, 0.088) LS-BMD 0.005, -0.034, 0.749) on In reverse analysis, we FI various sites. Conclusion Our provides support hypothesis that may be potential risk factor but further research needed confirm relationship. findings causality.

Язык: Английский

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Exploration of the causality of frailty index on psoriasis: A Mendelian randomization study

Skin Research and Technology, Год журнала: 2024, Номер 30(3)

Опубликована: Март 1, 2024

Abstract Background Frailty is associated with a variety of diseases, but the relationship between frailty and psoriasis remains unclear. Methods First, we conducted two‐sample Mendelian randomization based on genome‐wide association studies (GWAS) to investigate genetic causality index common diseases in dermatology. Inverse variance weighted was used estimate causality. Second, expression quantitative trait locus (eQTLs) analysis identify genes affected by Single nucleotide polymorphisms (SNPs). Third, performed function pathway enrichment, transcriptome‐wide (TWAS) eQTLs. Results It shown that rise could increase risk (IVW, beta = 0.916, OR 2.500, 95%CI:1.418‐4.408, p 0.002) through (MR), there no heterogeneity pleiotropy. There other We found 31 eQTLs strongly correlated SNPs TWAS expressions four were closely related psoriasis, including HLA‐DQA1, HLA‐DQA2, HLA‐DRB1 HLA‐DQB1. Conclusion suggested had significant positive which well documented combined genomic, transcriptome, proteome analyses.

Язык: Английский

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