Lancet Healthy Longevity最新文献

{"title":"Single-domain and multidomain lifestyle interventions for the prevention of cognitive decline in older adults who are cognitively unimpaired: a systematic review and network meta-analysis.","authors":"Augusto J Mendes, Federica Ribaldi, Ozge Sayin, Giorgi Khachvani, Roberta Mulargia, Gabriele Volpara, Giulia Remoli, Umberto Nencha, Stefano Gianonni-Luza, Stefano Cappa, Giovanni B Frisoni","doi":"10.1016/j.lanhl.2025.100762","DOIUrl":"https://doi.org/10.1016/j.lanhl.2025.100762","url":null,"abstract":"<p><strong>Background: </strong>Preventing cognitive impairment in older adults is a public health priority. Although multidomain interventions have shown promise as preventive strategies, the optimal combination of interventions remains unclear. This network meta-analysis aimed to compare and rank the relative efficacy of single-domain and multidomain lifestyle interventions for the prevention of cognitive impairment in older adults who are cognitively unimpaired.</p><p><strong>Methods: </strong>We did a systematic review and network meta-analysis of randomised controlled trials (RCTs) published in PubMed and Embase from inception until the date of our search on May 7, 2024 following a preregistered protocol in PROSPERO (CRD42024601975). We included RCTs in older adults who are cognitively unimpaired evaluating lifestyle interventions targeting diet, physical exercise, cognitive training, social activity, and health education, either alone or in combination. The primary outcome was global cognition, analysed using random-effects network meta-analysis, reporting standardised mean differences (SMDs) and 95% CIs, and compared against health education, active control, or no intervention. Subgroup analyses explored potential age-related differences and the effect of intervention duration. Risk of bias was assessed using Cochrane Risk of Bias 2, and publication bias was evaluated by assessing funnel plot asymmetry.</p><p><strong>Findings: </strong>Of the 10 200 citations identified and 1183 full texts screened for eligibility, we identified 109 eligible RCTs, including 23 010 participants (median age 70·1 years [IQR 68·7-73·8], 14 957 [65%] female and 8053 [35%] male). Compared with health education, significant improvements in global cognition were found for physical exercise and cognitive training combined (SMD 0·26 [95% CI 0·10-0·42; p=0·0011); cognitive training alone (SMD 0·21 [0·08-0·33]; p=0·00092); diet, physical exercise, cognitive training, and health education combined (SMD 0·14 [0·02-0·27]; p=0·028); and physical exercise alone (SMD 0·14 [0·05-0·22]; p=0·0014). Random-effects models using active control and no intervention as comparators yielded similarly significant effects for the aforementioned interventions, with effect sizes in the same order. Risk of bias was high in 44 (40%) studies, and publication bias was suggested in studies comparing interventions with health education.</p><p><strong>Interpretation: </strong>Several single-domain and multidomain lifestyle interventions are efficacious at modulating global cognition in older adults who are cognitively unimpaired, with the combination of physical exercise and cognitive training demonstrating the strongest effect. Combining lifestyle interventions might enhance efficacy, but increased number of domains does not automatically translate into greater cognitive benefits. These findings support lifestyle interventions as key components of prevention strategies; however, their optimal c","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":" ","pages":"100762"},"PeriodicalIF":14.6,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145187114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating exercise and medication management in geriatric care: a holistic strategy to enhance health outcomes and reduce polypharmacy.","authors":"Mikel Izquierdo, Robinsón Ramírez-Vélez, Maria A Fiatarone Singh","doi":"10.1016/j.lanhl.2025.100763","DOIUrl":"https://doi.org/10.1016/j.lanhl.2025.100763","url":null,"abstract":"<p><p>Integrating exercise prescriptions with medication management represents a novel approach for enhancing health and function, optimising medication effectiveness, and reducing adverse drug reactions and polypharmacy in older adults (ie, those aged ≥60 years). This Personal View highlights the need for a comprehensive assessment of lifestyle, diagnoses, geriatric syndromes, and medications with an emphasis on fully incorporating exercise treatment into geriatric care. Exercise is an alternative to less effective or unsafe medications for many conditions, including depression, anxiety, insomnia, osteoarthritis, and dementia. Exercise is an important adjunct to pharmacotherapy for many common chronic conditions such as coronary artery disease, heart failure, diabetes, osteoporosis, cancer, and chronic obstructive pulmonary disease. Adding exercise to drug management can mitigate adverse drug reactions, enhance medication compliance, and reduce the adverse effects of sedentary behaviour and ageing processes on chronic disease expression. Targeted exercise programmes have also been shown to ameliorate drug-induced side-effects, including anorexia, falls, sarcopenia, osteoporosis, and orthostatic hypotension, and to overcome constraints such as reduced aerobic fitness, balance impairment, and muscle atrophy due to some medications. Health-care professionals require additional training and support to ensure that exercise assumes a key, central role in older adults with multimorbidity and polypharmacy, as supported by the current literature. This Personal View describes practical approaches to incorporating exercise into clinical practice as a step towards an integrated geriatric care model, with the ultimate aim of increasing health span and minimising disability.</p>","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":" ","pages":"100763"},"PeriodicalIF":14.6,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145182213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of an Iyengar yoga-based exercise programme versus a seated yoga relaxation programme on falls in people aged 60 years and older (SAGE): a pragmatic, two-arm, parallel randomised controlled trial.","authors":"Juliana S Oliveira, Catherine Sherrington, Stephen R Lord, Giane C Camara, Shannon Colley, Courtney A West, Abby Haynes, Heidi Gilchrist, Wing S Kwok, Louise Mn Pearce, Geraldine Wallbank, Mallory Trent, Adrian Bauman, Anne C Grunseit, Kaarin J Anstey, Anne Tiedemann","doi":"10.1016/j.lanhl.2025.100749","DOIUrl":"https://doi.org/10.1016/j.lanhl.2025.100749","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Exercises targeting balance and strength are proven to prevent falls. Yoga is growing in popularity and can improve balance and mobility in older adults, but its effects on falls have not been rigorously tested. In this study, we aimed to compare the effects of Iyengar yoga-based exercise and seated relaxation yoga on the rate of falls among older adults.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This pragmatic, two-arm, parallel randomised controlled trial recruited Australian community-dwelling people aged 60 years and older who were not currently practising yoga and who lived independently. Participants were randomly assigned (1:1) to the intervention (Iyengar yoga-based exercise) or control (seated relaxation yoga) group using a computer-generated sequence. Participants and yoga instructors were unmasked, but research staff verifying falls data and assessing goal attainment were masked to group allocation. Intervention participants received 80 supervised, 1-h, twice-weekly yoga classes over 12 months, and were encouraged to undertake unsupervised practice on 2 additional days per week. Control participants attended two 1-h supervised workshops focused on seated breathing and stretching. Most classes were held online due to the COVID-19 pandemic. The primary outcome was fall rate per year. Secondary outcomes were mental wellbeing, physical activity, quality of life, balance self-confidence, physical function, sleep quality, pain, and goal attainment, all assessed in the intention-to-treat population. The study protocol was registered with the Australian New Zealand Clinical Trials Registry (ACTRN12619001183178).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Findings: &lt;/strong&gt;Between Oct 3, 2019, and Oct 28, 2021, 2182 older adults expressed their interest in participating, 810 were assessed for eligibility, 110 were excluded, and 700 were randomly assigned to either the Iyengar yoga exercise programme or the control group (seated yoga relaxation programme; 350 participants per group). The mean age of participants was 67 years (SD 5·2), and 570 (81%) were female and 130 (19%) were male. Six intervention participants reported musculoskeletal-related adverse events associated with the yoga programme, and no serious adverse events occurred. Contrary to expectations, there was a higher fall rate in the intervention group than in the control group (0·87 vs 0·64 falls per person-year; incidence rate ratio 1·33 [95% CI 1·01-1·75; p=0·044]). The intervention improved the number of hours per week of planned physical activity (mean difference 0·96 h per week [95% CI 0·43-1·49]; p&lt;0·0001), self-reported balance confidence (mean difference 2·94 [0·60-5·28]; p=0·014), and goal attainment (mean difference 0·60 [0·26-0·94]; p=0·0006). No significant between-group differences were identified for other secondary outcomes.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Interpretation: &lt;/strong&gt;This Iyengar yoga-based programme should not be recommended for fall prevention in its current form. Modified p","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":" ","pages":"100749"},"PeriodicalIF":14.6,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145179234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Age-specific population attributable fractions for frailty, functional disability, and hospitalisation in Chinese older people: an ICOPE-based prospective cohort study.","authors":"Ruby Yu, Derek Lai, Grace Leung, Lok-Yan Tam, Clara Cheng, Sara Kong, Cecilia Tong, Matthew Yu, Jean Woo","doi":"10.1016/j.lanhl.2025.100757","DOIUrl":"10.1016/j.lanhl.2025.100757","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Declines in intrinsic capacity have been associated with increased risks of frailty, disability, and hospitalisation. We estimated population attributable fractions (PAFs) for these outcomes with respect to intrinsic capacity-related conditions and traditional modifiable risk factors in different age groups.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;We analysed data from a territory-wide, multicentre, community-based, prospective cohort study (2023-24) in Hong Kong. Among 22 237 Chinese adults aged 60 years and older with follow-up data, we calculated age-specific PAFs for incident frailty, instrumental activities of daily living (IADL) disability, and hospitalisation associated with 13 modifiable risk factors. These risk factors included intrinsic capacity conditions, cardiometabolic conditions, and socioeconomic and lifestyle factors, and combinations of these.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Findings: &lt;/strong&gt;Between March 21, 2023, and Dec 31, 2024, 47 776 participants were recruited to the study. 41 226 (86·3%) had complete baseline data for all intrinsic capacity conditions, cardiometabolic conditions, socioeconomic and lifestyle factors, demographic covariates, and outcome variables and were therefore included in our study sample. 22 237 (53·9%) of 41 226 participants completed follow-up assessments at least 6 months after baseline with a mean follow-up of 360·4 days (SD 71·6, median 348·0, IQR 307·0-399·0), 1398 (7·1%) of 19 777 participants had incident frailty, 1152 (6·0%) of 19 171 participants had incident IADL disability, and 2068 (11·1%) of 18 622 participants were hospitalised. Limited mobility was the leading risk factor associated across all outcomes (PAFs 9·8-25·3%). Depressive symptoms were a strong risk factor associated with frailty (PAF 19·1%). Age-stratified analyses revealed that limited mobility had the highest PAFs in adults aged 80 years and older, whereas depressive symptoms showed peak PAFs in those aged 60-69 years in most cases. Hypertension contributed to all outcomes (PAFs 8·4-19·6%) only in adults younger than 80 years. In adults aged 60-69 years physical activity was the predominant risk factor associated with frailty (PAF 21·9%) and disability (PAF 22·3%). The attributable risk of lower education with frailty increased with age, reaching its peak in adults aged 80 years and older (PAF 20·2%). Regarding the joint effects of the risk factors, intrinsic capacity decline was the factor associated with the highest overall attributable risk for all outcomes, exceeding the impact of cardiometabolic diseases and socioeconomic and lifestyle risk.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Interpretation: &lt;/strong&gt;Our findings provide insights into age-specific risk factors for frailty, disability, and hospitalisation in older people, underlining the importance of targeted prevention strategies across age groups. Our findings further support a shift towards prioritising intrinsic capacity to better support healthy ageing at the population level","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":" ","pages":"100757"},"PeriodicalIF":14.6,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145008445","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Plant-based dietary patterns and age-specific risk of multimorbidity of cancer and cardiometabolic diseases: a prospective analysis","authors":"Reynalda Córdova PhD ,&nbsp;Prof Jihye Kim PhD ,&nbsp;Alysha S Thompson PhD ,&nbsp;Hwayoung Noh PhD ,&nbsp;Sanam Shah PhD ,&nbsp;Christina C Dahm PhD ,&nbsp;Christopher F Jensen MSc ,&nbsp;Lene Mellemkjær PhD ,&nbsp;Prof Anne Tjønneland PhD ,&nbsp;Verena Katzke PhD ,&nbsp;Charlotte Le Cornet PhD ,&nbsp;Christine El-Khoury MSc ,&nbsp;Prof Matthias B Schulze DrPH ,&nbsp;Giovanna Masala MD ,&nbsp;Claudia Agnoli MSc ,&nbsp;Vittorio Simeon PhD ,&nbsp;Rosario Tumino PhD ,&nbsp;Fulvio Ricceri PhD ,&nbsp;Prof W M Monique Verschuren PhD ,&nbsp;Prof Yvonne T van der Schouw PhD ,&nbsp;Heinz Freisling PhD","doi":"10.1016/j.lanhl.2025.100742","DOIUrl":"10.1016/j.lanhl.2025.100742","url":null,"abstract":"<div><h3>Background</h3><div>It is currently unknown whether plant-based dietary patterns influence disease progression to multimorbidity after an initial non-communicable disease, and whether the associated risk of multimorbidity varies with age. This study aimed to investigate associations of plant-based diets with the risk of multimorbidity, defined as the co-occurrence of at least two chronic diseases in an individual (either cancer at any site, cardiovascular disease, or type 2 diabetes).</div></div><div><h3>Methods</h3><div>This prospective cohort study used data from EPIC and UK Biobank across six European countries, with participants aged 35–70 years at recruitment. We excluded participants from these cohorts who had cancer, cardiovascular disease, or type 2 diabetes at baseline or those with missing data on diet or health outcomes. Data on dietary habits were assessed either at baseline through a validated dietary questionnaire about habits in the previous 12 months or through several 24-h recall questionnaires during approximately a year of follow-up. Multistate modelling with Cox regression was used to estimate the risk of multimorbidity according to a healthful plant-based diet index (hPDI) and, separately, an unhealthful plant-based diet index (uPDI). Risk differences in adults younger than 60 years and those age 60 years and older were estimated.</div></div><div><h3>Findings</h3><div>407 618 participants (226 324 from EPIC and 181 294 from UK Biobank) were included in this study. During a median follow-up time of 10·9 years in EPIC and 11·4 years in UK Biobank, 6604 cancer–cardiometabolic multimorbidity events occurred in both cohorts combined. A ten-point increment of the hPDI score was associated with a lower risk of multimorbidity, with a hazard ratio (HR) of 0·89 (95% CI 0·83–0·96) in EPIC and 0·81 (0·76–0·86) in UK Biobank. This inverse association was marginally weaker in older adults than in middle-aged adults in both cohorts. In UK Biobank, a ten-point increment of the hPDI score was associated with multivariable-adjusted HRs of 0·71 (95% CI 0·65–0·79) in adults younger than 60 years and 0·86 (0·80–0·92) in those aged 60 years and older (p_interaction=0·0016). The respective HRs in EPIC were 0·86 (95% CI 0·78–0·95) and 0·92 (0·84–1·02; p_interaction=0·32). A higher adherence to an unhealthy plant-based diet was positively associated with multimorbidity risk in UK Biobank (HR per ten-point increment of uPDI 1·22, 95% CI 1·16–1·29), but this was not replicated in EPIC (1·00, 0·94–1·08).</div></div><div><h3>Interpretation</h3><div>A healthy plant-based diet might reduce the burden of multimorbidity of cancer and cardiometabolic diseases among middle-aged and older adults.</div></div><div><h3>Funding</h3><div>The Korean Government (Ministry of Science and ICT).</div></div>","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"6 8","pages":"Article 100742"},"PeriodicalIF":14.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Screening and management of frailty among people experiencing homelessness","authors":"Salmaan Z Kamal ,&nbsp;Katherine Diaz Vickery","doi":"10.1016/j.lanhl.2025.100760","DOIUrl":"10.1016/j.lanhl.2025.100760","url":null,"abstract":"","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"6 8","pages":"Article 100760"},"PeriodicalIF":14.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972252","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Recognising frailty throughout adulthood","authors":"The Lancet Healthy Longevity","doi":"10.1016/j.lanhl.2025.100765","DOIUrl":"10.1016/j.lanhl.2025.100765","url":null,"abstract":"","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"6 8","pages":"Article 100765"},"PeriodicalIF":14.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972334","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applicability of the electronic frailty index in younger and older adults in England: a population-based cohort study","authors":"Daniel R Morales PhD ,&nbsp;Prof Bruce Guthrie PhD ,&nbsp;Thomas J Downes MPhil ,&nbsp;Prof David A McAllister MD ,&nbsp;Peter Hanlon PhD","doi":"10.1016/j.lanhl.2025.100752","DOIUrl":"10.1016/j.lanhl.2025.100752","url":null,"abstract":"<div><h3>Background</h3><div>The electronic frailty index (eFI) was developed in older adults (aged ≥65 years). There are currently no validated frailty scores in clinical practice for younger adults (aged 18–64 years). The aim of this study was to examine whether the eFI score in younger adults had similar or different associations with adverse health outcomes compared with older adults.</div></div><div><h3>Methods</h3><div>In this population-based cohort study, electronic health records from the UK Clinical Practice Research Datalink GOLD database were analysed. We used a cross-section of patients on Nov 30, 2015, who were alive and had been registered with a general practice for at least 2 years before data capture. Patients were stratified into younger adults (aged 18–64 years, n=708 235; 49·4% female) and older adults (aged 65–95 years, n=231 819; 54·3% female). For all included patients, eFI score, prevalence of individual eFI deficits, and eFI frailty category were calculated. For the main outcomes, crude and age–sex adjusted hazard ratios (HRs) were calculated for 1-year and 3-year mortality and emergency hospitalisation for each group compared with adults defined by the eFI as fit.</div></div><div><h3>Findings</h3><div>The prevalence of eFI-defined frailty was higher in older adults than younger adults. Specifically, in older adults, 77 290 (33·3%) of 231 819 had mild frailty, 44 523 (19·2%) had moderate frailty, and 22 572 (9·7%) had severe frailty. For younger adults, 76 991 (10·9%) of 708 235 had mild frailty, 12 552 (1·8%) had moderate frailty, and 2088 (0·3%) had severe frailty. Adjusted HRs for both 1-year mortality and 1-year emergency hospitalisation in younger adults with mild, moderate, and severe frailty were greater than in older adults with equivalent frailty categorisation. Specifically, compared with fit older adults, age–sex adjusted 1-year mortality HRs were 1·94 (95% CI 1·80–2·09) in older adults with mild frailty, 2·99 (2·77–3·22) with moderate frailty, and 4·03 (3·72–4·36) with severe frailty. Compared with fit younger adults, age–sex adjusted 1-year mortality HRs were 3·15 (2·80–3·55) in younger adults with mild frailty, 5·88 (4·95–6·98) with moderate frailty, and 12·61 (9·76–16·30) with severe frailty (Z score p&lt;0·001 for all comparisons). Compared with fit older adults, age–sex adjusted HRs for 1-year emergency hospitalisation were 2·30 (2·22–2·39) in older adults with mild frailty, 4·09 (3·94–4·25) with moderate frailty, and 6·76 (6·50–7·03) with severe frailty. Compared with fit younger adults, age–sex adjusted HRs for 1-year emergency hospitalisation were 3·16 (3·07–3·25) in younger adults with mild frailty, 6·64 (6·34–6·94) with moderate frailty, and 13·02 (12·04–14·09) with severe frailty (Z score p&lt;0·001 for all comparisons). Similar associations were observed for 3-year mortality and emergency hospitalisation.</div></div><div><h3>Interpretation</h3><div>Similarly to older adults, the eFI identifies you","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"6 8","pages":"Article 100752"},"PeriodicalIF":14.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972238","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances in our understanding of how to prevent suicide in older men","authors":"Stuart Leske ,&nbsp;Kylie King","doi":"10.1016/j.lanhl.2025.100758","DOIUrl":"10.1016/j.lanhl.2025.100758","url":null,"abstract":"","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"6 8","pages":"Article 100758"},"PeriodicalIF":14.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144972226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Emulating target trials in older adults with multimorbidity","authors":"Changyuan Yang ,&nbsp;Priya Vart","doi":"10.1016/j.lanhl.2025.100750","DOIUrl":"10.1016/j.lanhl.2025.100750","url":null,"abstract":"","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"6 8","pages":"Article 100750"},"PeriodicalIF":14.6,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144765600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}