Pub Date : 2025-12-06DOI: 10.1016/j.archger.2025.106113
Zhu Zhu , Wenji Wang , Qi Zhang , Xiao Bi , Shaojun Ma , Yue Shen , Feng Ding
Background
Sarcopenia, an age-related syndrome characterized by progressive loss of muscle mass, strength, and function, presents a significant global health burden with limited therapeutic interventions. This study integrates genomic causality, multi-tissue omics, and cellular mediation analyses to identify and prioritize mechanistically grounded therapeutic targets.
Methods
A multi-tiered analytical framework was applied, beginning with two-sample Mendelian randomization (MR) to infer causal relationships between 4907 plasma proteins (cis-pQTLs from 35,559 individuals) and sarcopenia traits in Pan-UK Biobank participants. Bayesian colocalization and transcriptomic validation in human sarcopenia muscle biopsies were employed to prioritize targets. Cellular mediation analysis quantified contributions of immune and stromal cell subtypes to protein-trait pathways using transcriptomic deconvolution.
Results
MR identified 1237 plasma proteins causally associated with sarcopenia traits, with six targets (HGFAC, GATM, HMOX2, F2, LMAN2L, HPGDS) validated through colocalization, transcriptomic expression, and sarcopenia-related dysregulation. Cellular mediation revealed immune mechanisms underlying HGFAC’s effects, with CD4+ regulatory T cells mediating 3.49 % of its impact on sarcopenia traits. Prothrombin exhibited muscle-protective effects independent of coagulation.
Conclusion
This study establishes a causal map linking plasma proteins to sarcopenia through immune-stromal interactions. The integration of MR, multi-omics validation, and cellular mediation prioritizes six proteins as actionable targets, supporting repurposing of thrombin inhibitors and development of immunometabolic therapies. The framework bridges genomic causality with cellular pathophysiology, advancing precision strategies for age-related muscle decline.
{"title":"Integration of multiple omics reveals key targets and cellular mechanisms for intervention in sarcopenia","authors":"Zhu Zhu , Wenji Wang , Qi Zhang , Xiao Bi , Shaojun Ma , Yue Shen , Feng Ding","doi":"10.1016/j.archger.2025.106113","DOIUrl":"10.1016/j.archger.2025.106113","url":null,"abstract":"<div><h3>Background</h3><div>Sarcopenia, an age-related syndrome characterized by progressive loss of muscle mass, strength, and function, presents a significant global health burden with limited therapeutic interventions. This study integrates genomic causality, multi-tissue omics, and cellular mediation analyses to identify and prioritize mechanistically grounded therapeutic targets.</div></div><div><h3>Methods</h3><div>A multi-tiered analytical framework was applied, beginning with two-sample Mendelian randomization (MR) to infer causal relationships between 4907 plasma proteins (cis-pQTLs from 35,559 individuals) and sarcopenia traits in Pan-UK Biobank participants. Bayesian colocalization and transcriptomic validation in human sarcopenia muscle biopsies were employed to prioritize targets. Cellular mediation analysis quantified contributions of immune and stromal cell subtypes to protein-trait pathways using transcriptomic deconvolution.</div></div><div><h3>Results</h3><div>MR identified 1237 plasma proteins causally associated with sarcopenia traits, with six targets (HGFAC, GATM, HMOX2, F2, LMAN2L, HPGDS) validated through colocalization, transcriptomic expression, and sarcopenia-related dysregulation. Cellular mediation revealed immune mechanisms underlying HGFAC’s effects, with CD4+ regulatory T cells mediating 3.49 % of its impact on sarcopenia traits. Prothrombin exhibited muscle-protective effects independent of coagulation.</div></div><div><h3>Conclusion</h3><div>This study establishes a causal map linking plasma proteins to sarcopenia through immune-stromal interactions. The integration of MR, multi-omics validation, and cellular mediation prioritizes six proteins as actionable targets, supporting repurposing of thrombin inhibitors and development of immunometabolic therapies. The framework bridges genomic causality with cellular pathophysiology, advancing precision strategies for age-related muscle decline.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"142 ","pages":"Article 106113"},"PeriodicalIF":3.8,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-12-04DOI: 10.1016/j.archger.2025.106111
Shuanglong Hou , Yi Pan , Jing Luo , Rui Liu , Xueqiang Wang
Background
Emerging evidence suggests that intrinsic capacity (IC) impairments are potential predictors of cardiovascular disease (CVD), yet the impact of longitudinal IC transitions on CVD risk remain incompletely elucidated. This study investigates associations between short-term IC transitions and subsequent incident CVD to address this gap.
Methods
Data were derived from the China Health and Retirement Longitudinal Study (CHARLS). Seven biomarkers encompassing five IC domains were evaluated, and IC was categorized as high, moderate, and low levels based on total domain scores. IC transitions were evaluated using baseline and 2-year follow-up data. CVD was defined as self-reported physician-diagnosed heart disease or stroke. Cox proportional hazards models were employed to estimate the associations between IC transitions and incident CVD.
Results
Among 5190 eligible participants, 1072 (20.7 %) developed incident CVD. Compared with stable high IC, participants with high baseline IC who declined to moderate (HR 1.34, 95 % CI 1.05–1.71) or low IC (HR 1.61, 95 % CI 1.16–2.22) exhibited elevated risks of incident CVD. Similarly, increased CVD risks were observed in participants who declined from high to moderate IC compared with those stable moderate IC (HR 1.32, 95 % CI 1.04–1.69). In contrast, participants with low baseline IC who improved to high IC showed decreased risks of incident CVD relative to those with stable low IC (HR 0.55, 95 % CI 0.38–0.76).
Conclusion
Dynamic transitions in IC are associated with distinct CVD risks. IC decline is linked to a significantly elevated risk, whereas IC improvement correlates with a reduced risk.
背景:越来越多的证据表明,内在能力(IC)损伤是心血管疾病(CVD)的潜在预测因素,但纵向IC转换对CVD风险的影响仍未完全阐明。本研究调查了短期IC转变与随后发生的心血管疾病之间的关系,以解决这一差距。方法数据来源于中国健康与退休纵向研究(CHARLS)。包括5个IC域的7个生物标志物被评估,并根据IC的总域得分将IC分为高、中、低水平。使用基线和2年随访数据评估IC转移。心血管疾病被定义为自我报告的医生诊断的心脏病或中风。采用Cox比例风险模型来估计IC转换与事件CVD之间的关联。结果在5190名符合条件的参与者中,1072名(20.7%)发生心血管疾病。与稳定的高IC相比,基线IC高的参与者下降到中度(HR 1.34, 95% CI 1.05-1.71)或低IC (HR 1.61, 95% CI 1.16-2.22)时,心血管疾病发生的风险增加。同样,与稳定的中度IC相比,从高IC降至中度IC的参与者心血管疾病风险增加(HR 1.32, 95% CI 1.04-1.69)。相比之下,低基线IC改善到高IC的参与者与稳定低IC的参与者相比,CVD发生风险降低(HR 0.55, 95% CI 0.38-0.76)。结论IC的动态转变与不同的CVD风险相关。IC下降与风险显著升高有关,而IC改善与风险降低有关。
{"title":"Associations between intrinsic capacity transitions and incident cardiovascular disease among middle-aged and older adults","authors":"Shuanglong Hou , Yi Pan , Jing Luo , Rui Liu , Xueqiang Wang","doi":"10.1016/j.archger.2025.106111","DOIUrl":"10.1016/j.archger.2025.106111","url":null,"abstract":"<div><h3>Background</h3><div>Emerging evidence suggests that intrinsic capacity (IC) impairments are potential predictors of cardiovascular disease (CVD), yet the impact of longitudinal IC transitions on CVD risk remain incompletely elucidated. This study investigates associations between short-term IC transitions and subsequent incident CVD to address this gap.</div></div><div><h3>Methods</h3><div>Data were derived from the China Health and Retirement Longitudinal Study (CHARLS). Seven biomarkers encompassing five IC domains were evaluated, and IC was categorized as high, moderate, and low levels based on total domain scores. IC transitions were evaluated using baseline and 2-year follow-up data. CVD was defined as self-reported physician-diagnosed heart disease or stroke. Cox proportional hazards models were employed to estimate the associations between IC transitions and incident CVD.</div></div><div><h3>Results</h3><div>Among 5190 eligible participants, 1072 (20.7 %) developed incident CVD. Compared with stable high IC, participants with high baseline IC who declined to moderate (HR 1.34, 95 % CI 1.05–1.71) or low IC (HR 1.61, 95 % CI 1.16–2.22) exhibited elevated risks of incident CVD. Similarly, increased CVD risks were observed in participants who declined from high to moderate IC compared with those stable moderate IC (HR 1.32, 95 % CI 1.04–1.69). In contrast, participants with low baseline IC who improved to high IC showed decreased risks of incident CVD relative to those with stable low IC (HR 0.55, 95 % CI 0.38–0.76).</div></div><div><h3>Conclusion</h3><div>Dynamic transitions in IC are associated with distinct CVD risks. IC decline is linked to a significantly elevated risk, whereas IC improvement correlates with a reduced risk.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"142 ","pages":"Article 106111"},"PeriodicalIF":3.8,"publicationDate":"2025-12-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Reduced pulmonary function may contribute to cognitive decline in older adults; however, few longitudinal studies adjust for frailty, lifestyle, and comorbidities. This study examined whether baseline spirometry predicts 3-year cognitive decline in community-dwelling older Japanese adults. Data were derived from the SONIC Study, a longitudinal cohort of older Japanese adults. This 3-year follow-up included community-dwelling adults in their 70 s and 80 s, stratified by age and sex. Baseline and follow-up assessed anthropometry, physical frailty indicators (grip strength and gait speed), cognition (Montreal Cognitive Assessment, Japanese version [MoCA-J]) and pulmonary function (percent vital capacity [%VC], percent forced vital capacity [%FVC], percent forced expiratory volume in one second [%FEV₁], forced expiratory volume in one second / forced vital capacity ratio [FEV₁/FVC], and percent peak expiratory flow [%PEF]). Associations with mild cognitive decline were examined using logistic regression, adjusted for comorbidities, health behaviors, and frailty. Most pulmonary function measures markedly decreased over 3 years, whereas the FEV₁/FVC ratio remained stable. MoCA-J scores markedly declined among adults in their 80 s but remained stable in those in their 70 s. Reduced %PEF was markedly associated with cognitive decline only in participants in their 70 s, in males and females. Additionally, reduced FEV₁/FVC ratio was associated with increased cognitive decline in females in their 70 s. No significant associations were found in participants in their 80 s. In older adults, declines in %PEF and FEV₁/FVC ratio increased cognitive decline in the 70 s age group, with sex differences noted. Simple pulmonary measures may help identify those at risk.
{"title":"Longitudinal association between pulmonary function and incident cognitive decline : Results of the SONIC cohort study","authors":"Yuka Tachibana , Keigo Kobayashi , Mai Kabayama , Michiko Kido , Yuya Akagi , Hiroshi Akasaka , Yoshio Iwashima , Saori Yasumoto , Yukie Masui , Kazunori Ikebe , Takumi Hirata , Yasumichi Arai , Yasuyuki Gondo , Koichi Yamamoto , Kei Kamide","doi":"10.1016/j.archger.2025.106109","DOIUrl":"10.1016/j.archger.2025.106109","url":null,"abstract":"<div><div>Reduced pulmonary function may contribute to cognitive decline in older adults; however, few longitudinal studies adjust for frailty, lifestyle, and comorbidities. This study examined whether baseline spirometry predicts 3-year cognitive decline in community-dwelling older Japanese adults. Data were derived from the SONIC Study, a longitudinal cohort of older Japanese adults. This 3-year follow-up included community-dwelling adults in their 70 s and 80 s, stratified by age and sex. Baseline and follow-up assessed anthropometry, physical frailty indicators (grip strength and gait speed), cognition (Montreal Cognitive Assessment, Japanese version [MoCA-J]) and pulmonary function (percent vital capacity [%VC], percent forced vital capacity [%FVC], percent forced expiratory volume in one second [%FEV₁], forced expiratory volume in one second / forced vital capacity ratio [FEV₁/FVC], and percent peak expiratory flow [%PEF]). Associations with mild cognitive decline were examined using logistic regression, adjusted for comorbidities, health behaviors, and frailty. Most pulmonary function measures markedly decreased over 3 years, whereas the FEV₁/FVC ratio remained stable. MoCA-J scores markedly declined among adults in their 80 s but remained stable in those in their 70 s. Reduced %PEF was markedly associated with cognitive decline only in participants in their 70 s, in males and females. Additionally, reduced FEV₁/FVC ratio was associated with increased cognitive decline in females in their 70 s. No significant associations were found in participants in their 80 s. In older adults, declines in %PEF and FEV₁/FVC ratio increased cognitive decline in the 70 s age group, with sex differences noted. Simple pulmonary measures may help identify those at risk.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"142 ","pages":"Article 106109"},"PeriodicalIF":3.8,"publicationDate":"2025-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145829210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-29DOI: 10.1016/j.archger.2025.106110
Jiaman Liao , Yaoting Su , Xueliang Huang , Yiheng Li , Hao Huang , Yiqiang Zhan
Objective
To identify and characterize health subtypes among middle-aged and older adults in China, and test if individuals in high-burden subtypes experience greater hospitalization over time.
Methods
This cohort study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative survey of adults aged ≥45 years, covering five waves (2011–2020). K-means clustering was applied to seven baseline indicators—functional disability, chronic conditions, neuropsychological vulnerability composite (NVC), unhealthy behaviors, social resources composite (SRC), and prior-year hospitalization—to identify distinct health subtypes. The optimal number of clusters was determined using the elbow method and average silhouette width, and cluster stability was assessed via bootstrap resampling with the adjusted Rand index. Associations between the identified subtypes and subsequent hospitalization burden were examined using generalized estimating equation (GEE) models.
Results
The analysis included 16,710 participants (mean age, 59.4 years; 51.2 % female). Two health subtypes were identified: high-burden (27.1 %) and low-burden (72.9 %). The high-burden group showed worse health across all indicators and had significantly higher hospitalization rates. GEE models showed that the low-burden group had fewer hospitalization days (β = –0.34; P < .001) and lower costs (β = –2,336; P < .001). Age and education were significant factors (P < .001).
Conclusions
Greater functional disability, more chronic diseases, higher NVC, unhealthy behaviors, and lower SRC were significantly associated with a higher hospitalization burden. These findings underscore the importance of subtype-based stratification for designing targeted interventions in older adults.
目的:确定和描述中国中老年人群的健康亚型,并测试高负担亚型的个体是否会随着时间的推移而住院治疗。方法:本队列研究利用了中国健康与退休纵向研究(CHARLS)的数据,CHARLS是一项具有全国代表性的年龄≥45岁的成年人调查,涵盖了5个阶段(2011-2020)。采用K-means聚类分析7个基线指标——功能障碍、慢性疾病、神经心理脆弱性复合(NVC)、不健康行为、社会资源复合(SRC)和前一年住院情况——以识别不同的健康亚型。采用肘形法和平均轮廓宽度确定最佳聚类数量,并利用调整后的Rand指数进行自举重采样,评估聚类稳定性。使用广义估计方程(GEE)模型检验确定的亚型与随后住院负担之间的关系。结果:分析包括16,710名参与者(平均年龄59.4岁,51.2%为女性)。确定了两种健康亚型:高负担(27.1%)和低负担(72.9%)。高负担组在所有指标上都表现出更差的健康状况,住院率也明显更高。GEE模型显示,低负担组住院天数较少(β = -0.34; P < .001),费用较低(β = -2,336; P < .001)。年龄、文化程度是影响因素(P < 0.001)。结论:更严重的功能障碍、更多的慢性疾病、更高的NVC、不健康行为和更低的SRC与更高的住院负担显著相关。这些发现强调了基于亚型的分层对于设计针对老年人的干预措施的重要性。
{"title":"Identifying multi-dimensional health clusters associated with high hospitalization burden among middle-aged and older adults in China: A 10-Year cohort study","authors":"Jiaman Liao , Yaoting Su , Xueliang Huang , Yiheng Li , Hao Huang , Yiqiang Zhan","doi":"10.1016/j.archger.2025.106110","DOIUrl":"10.1016/j.archger.2025.106110","url":null,"abstract":"<div><h3>Objective</h3><div>To identify and characterize health subtypes among middle-aged and older adults in China, and test if individuals in high-burden subtypes experience greater hospitalization over time.</div></div><div><h3>Methods</h3><div>This cohort study utilized data from the China Health and Retirement Longitudinal Study (CHARLS), a nationally representative survey of adults aged ≥45 years, covering five waves (2011–2020). K-means clustering was applied to seven baseline indicators—functional disability, chronic conditions, neuropsychological vulnerability composite (NVC), unhealthy behaviors, social resources composite (SRC), and prior-year hospitalization—to identify distinct health subtypes. The optimal number of clusters was determined using the elbow method and average silhouette width, and cluster stability was assessed via bootstrap resampling with the adjusted Rand index. Associations between the identified subtypes and subsequent hospitalization burden were examined using generalized estimating equation (GEE) models.</div></div><div><h3>Results</h3><div>The analysis included 16,710 participants (mean age, 59.4 years; 51.2 % female). Two health subtypes were identified: high-burden (27.1 %) and low-burden (72.9 %). The high-burden group showed worse health across all indicators and had significantly higher hospitalization rates. GEE models showed that the low-burden group had fewer hospitalization days (β = –0.34; P < .001) and lower costs (β = –2,336; P < .001). Age and education were significant factors (P < .001).</div></div><div><h3>Conclusions</h3><div>Greater functional disability, more chronic diseases, higher NVC, unhealthy behaviors, and lower SRC were significantly associated with a higher hospitalization burden. These findings underscore the importance of subtype-based stratification for designing targeted interventions in older adults.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"142 ","pages":"Article 106110"},"PeriodicalIF":3.8,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145727188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarcopenia is a growing concern owing to an aging global population. Older people with depression are at risk for sarcopenia and vice versa. Although physical exercise is key in preventing and managing sarcopenia, virtual reality (VR)-based exercises have emerged as an engaging alternative that may also alleviate depressive symptoms and enhance quality of life in older adults. However, the effects of VR exercise on depression in individuals with sarcopenia who are at higher risk of both physical decline and psychological distress remain underexplored.
Objective
This study aimed to explore the benefits of home-based VR aerobic exercise combined with resistance training for reversing sarcopenia and depression in community-dwelling older adults with sarcopenia.
Methods
This blinded randomized controlled trial enrolled 46 community-dwelling older adults with sarcopenia (37 females and 9 males); they were categorized into the home-based VR (n = 23) group receiving non-immersive VR aerobic exercise combined with a resistance program and the control group (CG) receiving self-care education (CG; n = 23). The VR program combined aerobic and resistance exercises, performed three times weekly for 12 weeks. Sarcopenia risk indicators, including gait speed, handgrip strength, skeletal muscle mass index (SMI), and depression scores, were examined before and after the intervention. A two-way mixed repeated-measures analysis of variance was performed.
Results
The VR group showed significant improvements in depressive symptoms (F(1,44)=51.80, p< 0.001), SMI (F(1,44) =28.07, p< 0.001), handgrip strength (F(1,44) = 66.74, p< 0.001, np2=0.599), and gait speed (F(1,44)=0.67, p< 0.001), whereas the CG showed reduced SMI (F(1,44) =7.55, p= 0.009) and handgrip strength F(1,44) =14.99, p< 0.001).
Conclusions
Home-based VR aerobic exercise combined with resistance training improves muscle mass, muscle strength, and physical performance and reduces depression in older adults with sarcopenia. Thus, it may be applied to effectively prevent or reverse sarcopenia and decrease depression among older adults.
Trial registration
The Thai Clinical Trials Registry is TCTR20231005004.
{"title":"Benefit of home-based virtual reality aerobic exercise combined with resistance training for reversing sarcopenia and reducing depression in community-dwelling older adults with sarcopenia: a randomized control trial","authors":"Kornanong Yuenyongchaiwat , Chanakan Chitjamnogchai , Natsinee Sermsinsaithong , Wararat Tavonudomgit , Lucksanaporn Mahawong , Sasipa Buranapuntalug , Preeyaphorn Songsorn , Chusak Thanawattano","doi":"10.1016/j.archger.2025.106108","DOIUrl":"10.1016/j.archger.2025.106108","url":null,"abstract":"<div><h3>Background</h3><div>Sarcopenia is a growing concern owing to an aging global population. Older people with depression are at risk for sarcopenia and vice versa. Although physical exercise is key in preventing and managing sarcopenia, virtual reality (VR)-based exercises have emerged as an engaging alternative that may also alleviate depressive symptoms and enhance quality of life in older adults. However, the effects of VR exercise on depression in individuals with sarcopenia who are at higher risk of both physical decline and psychological distress remain underexplored.</div></div><div><h3>Objective</h3><div>This study aimed to explore the benefits of home-based VR aerobic exercise combined with resistance training for reversing sarcopenia and depression in community-dwelling older adults with sarcopenia.</div></div><div><h3>Methods</h3><div>This blinded randomized controlled trial enrolled 46 community-dwelling older adults with sarcopenia (37 females and 9 males); they were categorized into the home-based VR (<em>n</em> = 23) group receiving non-immersive VR aerobic exercise combined with a resistance program and the control group (CG) receiving self-care education (CG; <em>n</em> = 23). The VR program combined aerobic and resistance exercises, performed three times weekly for 12 weeks. Sarcopenia risk indicators, including gait speed, handgrip strength, skeletal muscle mass index (SMI), and depression scores, were examined before and after the intervention. A two-way mixed repeated-measures analysis of variance was performed.</div></div><div><h3>Results</h3><div>The VR group showed significant improvements in depressive symptoms (F(1,44)=51.80, <em>p</em>< 0.001), SMI (F(1,44) =28.07, <em>p</em>< 0.001), handgrip strength (F(1,44) = 66.74, <em>p</em>< 0.001, np<sup>2</sup>=0.599), and gait speed (F(1,44)=0.67, <em>p</em>< 0.001), whereas the CG showed reduced SMI (F(1,44) =7.55, <em>p</em>= 0.009) and handgrip strength F(1,44) =14.99, <em>p</em>< 0.001).</div></div><div><h3>Conclusions</h3><div>Home-based VR aerobic exercise combined with resistance training improves muscle mass, muscle strength, and physical performance and reduces depression in older adults with sarcopenia. Thus, it may be applied to effectively prevent or reverse sarcopenia and decrease depression among older adults.</div></div><div><h3>Trial registration</h3><div>The Thai Clinical Trials Registry is TCTR20231005004.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"142 ","pages":"Article 106108"},"PeriodicalIF":3.8,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673039","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-26DOI: 10.1016/j.archger.2025.106092
Huanle Liu , Bin Chen , Xianying Lu , Shi Chen , Huan Chen , Xinyu Chen , Dingxi Bai , Xiaohui Dong , Shirui Tang , Jingyang Wang , Chaoming Hou , Jing Gao
Objective
This study aimed to explore the changing trend of multidimensional frailty among the elderly from 2010 to 2023 and its relationship with social changes.
Study design
This is a cross-temporal meta-analysis study.
Methods
From the establishment of each database to October 2024, eight databases were systematically searched, including PubMed, Web of Science, Embase, CINAHL, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Wanfang Database, and SinoMed Database. Two researchers independently screened the studies and extracted the data. Data analysis was conducted using SPSS version 26.0 through correlation analysis and linear regression.
Results
96 studies involving 79,810 individuals were ultimately included. The results showed an increasing trend in multidimensional frailty in older adults over time (β= 0.088 to 0.225, all p-values <0.05), and the effect size d varied between 0.23 and 0.7. The predicted mean TFI total score increased from 5.49 in 2010 to 7.21 in 2023. Subgroup analyses showed a more pronounced increasing trend in the levels of multidimensional frailty in older adults in females (β=0.135), and that levels of multidimensional frailty in older adults in community-based (d = 0.55) and institutionalized settings (d=-0.53) were more strongly affected by the year, whereas hospital-sourced older adults (d = 0.39) were less affected. The level of multidimensional frailty among older adults in Asia has declined (β=-0.015), while Europe showed an upward trend (β=0.077). Meanwhile, lagged analyses showed that the correlations between multidimensional frailty scores and the three types of social indicators (economic status, social support, and health care) were mostly significantly positive.
Conclusions
Between 2010 and 2023, multidimensional frailty in the elderly showed an upward trend, as well as economic status, social support, and medical care were associated with the rising level of multidimensional frailty in the elderly. Future research should integrate individual-level health management with macro-level social and economic policies, considering factors such as gender, region, and sample source, to develop personalized intervention programs that effectively enhance the overall health and well-being of older adults.
目的:探讨2010 - 2023年老年人多维脆弱性的变化趋势及其与社会变迁的关系。研究设计:这是一项跨时间元分析研究。方法:从各数据库建立至2024年10月,系统检索PubMed、Web of Science、Embase、CINAHL、中国知网(CNKI)、中国科技期刊库(VIP)、万方数据库、中国医学信息数据库等8个数据库。两名研究人员独立筛选研究并提取数据。数据分析采用SPSS 26.0版本,通过相关分析和线性回归。结果:最终纳入96项研究,涉及79,810人。结论:2010 - 2023年,老年人多维脆弱性呈上升趋势,经济地位、社会支持和医疗服务与老年人多维脆弱性水平上升有关。未来的研究应将个体层面的健康管理与宏观层面的社会经济政策相结合,考虑性别、地区、样本来源等因素,制定个性化的干预方案,有效提高老年人的整体健康和福祉。
{"title":"Changes of multidimensional frailty among older adults during 2010–2023: A systematic review and cross-temporal meta-analysis","authors":"Huanle Liu , Bin Chen , Xianying Lu , Shi Chen , Huan Chen , Xinyu Chen , Dingxi Bai , Xiaohui Dong , Shirui Tang , Jingyang Wang , Chaoming Hou , Jing Gao","doi":"10.1016/j.archger.2025.106092","DOIUrl":"10.1016/j.archger.2025.106092","url":null,"abstract":"<div><h3>Objective</h3><div>This study aimed to explore the changing trend of multidimensional frailty among the elderly from 2010 to 2023 and its relationship with social changes.</div></div><div><h3>Study design</h3><div>This is a cross-temporal meta-analysis study.</div></div><div><h3>Methods</h3><div>From the establishment of each database to October 2024, eight databases were systematically searched, including PubMed, Web of Science, Embase, CINAHL, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database (VIP), Wanfang Database, and SinoMed Database. Two researchers independently screened the studies and extracted the data. Data analysis was conducted using SPSS version 26.0 through correlation analysis and linear regression.</div></div><div><h3>Results</h3><div>96 studies involving 79,810 individuals were ultimately included. The results showed an increasing trend in multidimensional frailty in older adults over time (<em>β</em>= 0.088 to 0.225, all <em>p</em>-values <0.05), and the effect size <em>d</em> varied between 0.23 and 0.7. The predicted mean TFI total score increased from 5.49 in 2010 to 7.21 in 2023. Subgroup analyses showed a more pronounced increasing trend in the levels of multidimensional frailty in older adults in females (<em>β</em>=0.135), and that levels of multidimensional frailty in older adults in community-based (d = 0.55) and institutionalized settings (<em>d</em>=-0.53) were more strongly affected by the year, whereas hospital-sourced older adults (d = 0.39) were less affected. The level of multidimensional frailty among older adults in Asia has declined (<em>β</em>=-0.015), while Europe showed an upward trend (<em>β</em>=0.077). Meanwhile, lagged analyses showed that the correlations between multidimensional frailty scores and the three types of social indicators (economic status, social support, and health care) were mostly significantly positive.</div></div><div><h3>Conclusions</h3><div>Between 2010 and 2023, multidimensional frailty in the elderly showed an upward trend, as well as economic status, social support, and medical care were associated with the rising level of multidimensional frailty in the elderly. Future research should integrate individual-level health management with macro-level social and economic policies, considering factors such as gender, region, and sample source, to develop personalized intervention programs that effectively enhance the overall health and well-being of older adults.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"142 ","pages":"Article 106092"},"PeriodicalIF":3.8,"publicationDate":"2025-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145673005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-25DOI: 10.1016/j.archger.2025.106091
Zitong Gao , Haihong Qin , Tong Yue , Ye Li , Miao Huo
Objective
Older adults’ social participation is associated with frailty, but the transition patterns and their relationship with frailty remain unclear. This longitudinal study aims to explore the latent classes and transition patterns of social participation in older adults with chronic non-communicable diseases and to assess their relationship with subsequent frailty.
Method
The data set from the China Health and Retirement Longitudinal Study (CHARLS) in 2018 (T1) and 2020 (T2) was analyzed, including 4793 older adults. Latent profile analyses (LPA) and latent transition analyses (LTA) were employed to identify latent classes and the transition probabilities of social participation at T1 and T2. The ANCOVA was employed to examine the frailty index at T2 was compared across transition patterns.
Results
The LPA results supported a 4-class model labeled as inactive group, voluntary group, social interaction group, and omni-engaged group. The probability of transition from the other groups to the inactive group was significant (33.3 %, 53.8 %, 54.4 %). Age, residence, marital status, and other demographic characteristics can significantly impact transition patterns. However, after controlling for baseline frailty and other covariates, transition patterns were not significantly associated with T2 frailty levels.
Conclusion
The short-term (two-year) effect of qualitative shifts in social participation on frailty may be limited when pre-existing health status is accounted for. Future interventions should prioritize sustained engagement and investigate the longer-term effects of both qualitative and quantitative changes in social participation.
{"title":"Latent transition of social participation and its relationship with frailty among older adults with chronic non-communicable diseases in China: A national longitudinal study","authors":"Zitong Gao , Haihong Qin , Tong Yue , Ye Li , Miao Huo","doi":"10.1016/j.archger.2025.106091","DOIUrl":"10.1016/j.archger.2025.106091","url":null,"abstract":"<div><h3>Objective</h3><div>Older adults’ social participation is associated with frailty, but the transition patterns and their relationship with frailty remain unclear. This longitudinal study aims to explore the latent classes and transition patterns of social participation in older adults with chronic non-communicable diseases and to assess their relationship with subsequent frailty.</div></div><div><h3>Method</h3><div>The data set from the China Health and Retirement Longitudinal Study (CHARLS) in 2018 (T1) and 2020 (T2) was analyzed, including 4793 older adults. Latent profile analyses (LPA) and latent transition analyses (LTA) were employed to identify latent classes and the transition probabilities of social participation at T1 and T2. The ANCOVA was employed to examine the frailty index at T2 was compared across transition patterns.</div></div><div><h3>Results</h3><div>The LPA results supported a 4-class model labeled as inactive group, voluntary group, social interaction group, and omni-engaged group. The probability of transition from the other groups to the inactive group was significant (33.3 %, 53.8 %, 54.4 %). Age, residence, marital status, and other demographic characteristics can significantly impact transition patterns. However, after controlling for baseline frailty and other covariates, transition patterns were not significantly associated with T2 frailty levels.</div></div><div><h3>Conclusion</h3><div>The short-term (two-year) effect of qualitative shifts in social participation on frailty may be limited when pre-existing health status is accounted for. Future interventions should prioritize sustained engagement and investigate the longer-term effects of both qualitative and quantitative changes in social participation.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"142 ","pages":"Article 106091"},"PeriodicalIF":3.8,"publicationDate":"2025-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145622201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-24DOI: 10.1016/j.archger.2025.106096
Collin JC Exmann , Karlijn J Joling , Robert Verheij , Iris van der Heide , Hein PJ van Hout , Emiel O Hoogendijk
Introduction
The frailty index is widely used to identify vulnerable individuals at risk of adverse outcomes like mortality. However, its predictive performance compared to other mortality prediction models, especially in subpopulations like people with dementia, is not well known. This study aimed to compare frailty index’s performance with regression-based and machine learning models for predicting mortality among community-dwelling older adults, and to test performance in a dementia subgroup.
Methods
We selected 355,958 community-dwelling adults aged 60 years and older from primary care with electronic health records (EHR) linked to mortality registrations. We developed one- and five-year mortality prediction models using a 36-item frailty index and compared discrimination and calibration of a regression model including the frailty index with two types of regression models and two types of machine learning models using single health deficits as predictors. Lastly, we evaluated the models’ performance in 6394 persons with dementia.
Results
The frailty index model showed moderate performance with an AUC-ROC of 0.793 and 0.804 for one- and five-year mortality. The other models, using the single deficits as predictors, reached higher AUC-ROCs up to 0.828 and 0.824, with good calibration. Overall, the models performed worse in the dementia subgroup, with AUC-ROCs between 0.678 and 0.704.
Discussion
Regression-based and machine learning prediction models using single frailty deficits outperform the frailty index in predicting one- and five-year mortality. However, these models can be more complex and less interpretable. We found lower performance for people with dementia, suggesting the models are less applicable in this subpopulation.
{"title":"Mortality prediction among older people in primary care: a comparison of predictive performance of the frailty index with regression-based and machine learning models","authors":"Collin JC Exmann , Karlijn J Joling , Robert Verheij , Iris van der Heide , Hein PJ van Hout , Emiel O Hoogendijk","doi":"10.1016/j.archger.2025.106096","DOIUrl":"10.1016/j.archger.2025.106096","url":null,"abstract":"<div><h3>Introduction</h3><div>The frailty index is widely used to identify vulnerable individuals at risk of adverse outcomes like mortality. However, its predictive performance compared to other mortality prediction models, especially in subpopulations like people with dementia, is not well known. This study aimed to compare frailty index’s performance with regression-based and machine learning models for predicting mortality among community-dwelling older adults, and to test performance in a dementia subgroup.</div></div><div><h3>Methods</h3><div>We selected 355,958 community-dwelling adults aged 60 years and older from primary care with electronic health records (EHR) linked to mortality registrations. We developed one- and five-year mortality prediction models using a 36-item frailty index and compared discrimination and calibration of a regression model including the frailty index with two types of regression models and two types of machine learning models using single health deficits as predictors. Lastly, we evaluated the models’ performance in 6394 persons with dementia.</div></div><div><h3>Results</h3><div>The frailty index model showed moderate performance with an AUC-ROC of 0.793 and 0.804 for one- and five-year mortality. The other models, using the single deficits as predictors, reached higher AUC-ROCs up to 0.828 and 0.824, with good calibration. Overall, the models performed worse in the dementia subgroup, with AUC-ROCs between 0.678 and 0.704.</div></div><div><h3>Discussion</h3><div>Regression-based and machine learning prediction models using single frailty deficits outperform the frailty index in predicting one- and five-year mortality. However, these models can be more complex and less interpretable. We found lower performance for people with dementia, suggesting the models are less applicable in this subpopulation.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"142 ","pages":"Article 106096"},"PeriodicalIF":3.8,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145622345","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Late-life depression is a major public-health concern. Although physical activity is protective, the longitudinal association of physical-activity timing on depressive-symptom onset in older adults remains unclear. We examined the association of physical activity timing with depressive symptoms in older adults.
Methods
This study included 2542 community-dwelling adults aged ≥60 years from the NCGG-SGS cohort who were free of depressive symptoms at baseline. Physical activity was measured using an accelerometer and summarized in three-hour intervals. Functional principal component analysis classified participants into early and late active groups. Depressive symptoms (GDS score ≥5) were assessed after 26.4 months. Risk differences were estimated using inverse probability and overlap weighting, adjusting for demographic, health, and lifestyle factors.
Results
Depressive symptoms developed in 14.7% of participants. The late active group (activity peak in the afternoon) had a lower incidence (10.1%) than the early active group (16.1%). After inverse probability weighting, the risk difference was −3.9% (95% CI: −7.0% to −0.8%, P= 0.009). After overlap weighting, the risk difference was −3.5% (95% CI: −6.6% to −0.4%, P= 0.011). Subgroup analyses showed consistent results across age, sex, and activity levels.
Conclusions
A late active pattern was associated with a reduced risk of depressive symptoms in older adults. Timing of daily activity should be considered in depression-prevention strategies.
{"title":"Timing of daily physical activity and onset of depressive symptoms: A longitudinal cohort study of community-dwelling older adults","authors":"Masanori Morikawa , Kenji Harada , Chiharu Nishijima , Kazuya Fujii , Daisuke Kakita , Takuto Okuya , Kazuki Soma , Yukari Yamashiro , Naoto Takayanagi , Motoki Sudo , Hiroyuki Shimada","doi":"10.1016/j.archger.2025.106095","DOIUrl":"10.1016/j.archger.2025.106095","url":null,"abstract":"<div><h3>Background</h3><div>Late-life depression is a major public-health concern. Although physical activity is protective, the longitudinal association of physical-activity timing on depressive-symptom onset in older adults remains unclear. We examined the association of physical activity timing with depressive symptoms in older adults.</div></div><div><h3>Methods</h3><div>This study included 2542 community-dwelling adults aged ≥60 years from the NCGG-SGS cohort who were free of depressive symptoms at baseline. Physical activity was measured using an accelerometer and summarized in three-hour intervals. Functional principal component analysis classified participants into early and late active groups. Depressive symptoms (GDS score ≥5) were assessed after 26.4 months. Risk differences were estimated using inverse probability and overlap weighting, adjusting for demographic, health, and lifestyle factors.</div></div><div><h3>Results</h3><div>Depressive symptoms developed in 14.7% of participants. The late active group (activity peak in the afternoon) had a lower incidence (10.1%) than the early active group (16.1%). After inverse probability weighting, the risk difference was −3.9% (95% CI: −7.0% to −0.8%, <em>P</em>= 0.009). After overlap weighting, the risk difference was −3.5% (95% CI: −6.6% to −0.4%, <em>P</em>= 0.011). Subgroup analyses showed consistent results across age, sex, and activity levels.</div></div><div><h3>Conclusions</h3><div>A late active pattern was associated with a reduced risk of depressive symptoms in older adults. Timing of daily activity should be considered in depression-prevention strategies.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"142 ","pages":"Article 106095"},"PeriodicalIF":3.8,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145622346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-24DOI: 10.1016/j.archger.2025.106090
Qin Li , Haohong Lai , Juntao Wu , Haidi Yang
Background
Although hearing loss (HL) is a known risk factor for depressive symptoms, how depressive symptoms progress after its onset remains insufficiently explored. This study aimed to explore whether incident HL is associated with an acute increase and a sustained progress in depressive symptoms, after accounting for pre-HL depressive trajectories.
Methods
Using longitudinal data from the Health and Retirement Study (1998–2022), depressive symptoms were assessed biennially using the 8-item Center for Epidemiologic Studies Depression Scale (CES-D). Linear mixed-effects models were employed to estimate acute changes at the time of HL onset and the annual rate of change in depressive symptoms post-HL, while adjusting for pre-HL trajectories and baseline covariates.
Results
Among 11,099 participants (mean age 64.8 years), 3024 developed incident HL over a mean follow-up of 15.7 years. Prior to HL onset, the annual increase in depressive symptoms did not differ significantly between those who developed HL and those who remained free of HL. Following HL onset, a significant acute increase in depressive symptoms was observed (β = 0.234; 95 % CI: 0.184 to 0.283). Additionally, there was a sustained acceleration in the annual rate of increase in depressive symptoms post-HL (β = 0.013/year; 95 % CI: 0.005 to 0.022).
Conclusions
Incident HL is associated with an immediate increase and a long-term progress in depressive symptoms, independent of pre-onset trajectories. These findings highlight HL as a preventable risk factor for late-life depressive symptoms and underscore the importance of early detection and intervention for hearing to mitigate depressive symptom risk in aging populations.
{"title":"Trajectory of depressive symptom before and after incident hearing loss: A 24-year population-based longitudinal cohort study","authors":"Qin Li , Haohong Lai , Juntao Wu , Haidi Yang","doi":"10.1016/j.archger.2025.106090","DOIUrl":"10.1016/j.archger.2025.106090","url":null,"abstract":"<div><h3>Background</h3><div>Although hearing loss (HL) is a known risk factor for depressive symptoms, how depressive symptoms progress after its onset remains insufficiently explored. This study aimed to explore whether incident HL is associated with an acute increase and a sustained progress in depressive symptoms, after accounting for pre-HL depressive trajectories.</div></div><div><h3>Methods</h3><div>Using longitudinal data from the Health and Retirement Study (1998–2022), depressive symptoms were assessed biennially using the 8-item Center for Epidemiologic Studies Depression Scale (CES-D). Linear mixed-effects models were employed to estimate acute changes at the time of HL onset and the annual rate of change in depressive symptoms post-HL, while adjusting for pre-HL trajectories and baseline covariates.</div></div><div><h3>Results</h3><div>Among 11,099 participants (mean age 64.8 years), 3024 developed incident HL over a mean follow-up of 15.7 years. Prior to HL onset, the annual increase in depressive symptoms did not differ significantly between those who developed HL and those who remained free of HL. Following HL onset, a significant acute increase in depressive symptoms was observed (β = 0.234; 95 % CI: 0.184 to 0.283). Additionally, there was a sustained acceleration in the annual rate of increase in depressive symptoms post-HL (β = 0.013/year; 95 % CI: 0.005 to 0.022).</div></div><div><h3>Conclusions</h3><div>Incident HL is associated with an immediate increase and a long-term progress in depressive symptoms, independent of pre-onset trajectories. These findings highlight HL as a preventable risk factor for late-life depressive symptoms and underscore the importance of early detection and intervention for hearing to mitigate depressive symptom risk in aging populations.</div></div>","PeriodicalId":8306,"journal":{"name":"Archives of gerontology and geriatrics","volume":"142 ","pages":"Article 106090"},"PeriodicalIF":3.8,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145622344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}