{"title":"Reserve and resilience: the cumulative risk of surgery on cognition and neurodegeneration in older individuals","authors":"Tammy T Hshieh","doi":"10.1016/j.lanhl.2024.08.003","DOIUrl":"10.1016/j.lanhl.2024.08.003","url":null,"abstract":"","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"5 9","pages":"Article 100634"},"PeriodicalIF":13.4,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666756824001600/pdfft?md5=df4ef66c7ed43cea96a9eb3bdd33238d&pid=1-s2.0-S2666756824001600-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142156177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pasquale Mone , Michele Ciccarelli , Stanislovas S Jankauskas , Germano Guerra , Carmine Vecchione , Valeria Visco , Gaetano Santulli
{"title":"SGLT2 inhibitors and GLP-1 receptor agonists: which is the best anti-frailty drug?","authors":"Pasquale Mone , Michele Ciccarelli , Stanislovas S Jankauskas , Germano Guerra , Carmine Vecchione , Valeria Visco , Gaetano Santulli","doi":"10.1016/j.lanhl.2024.08.001","DOIUrl":"10.1016/j.lanhl.2024.08.001","url":null,"abstract":"","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"5 9","pages":"Article 100632"},"PeriodicalIF":13.4,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666756824001582/pdfft?md5=a738d8d237a2880177d0a896f7b64a1c&pid=1-s2.0-S2666756824001582-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142272877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lindsay C Kobayashi PhD , Rachel L Peterson PhD , Xuexin Yu PhD , Justina Avila-Rieger PhD , Priscilla A Amofa-Ho MS , Clara Vila-Castelar PhD , Erika Meza PhD , C Elizabeth Shaaban PhD , Prof Rachel A Whitmer PhD , Paola Gilsanz PhD , Elizabeth Rose Mayeda
{"title":"Life course financial mobility and later-life memory function and decline by gender, and race and ethnicity: an intersectional analysis of the US KHANDLE and STAR cohort studies","authors":"Lindsay C Kobayashi PhD , Rachel L Peterson PhD , Xuexin Yu PhD , Justina Avila-Rieger PhD , Priscilla A Amofa-Ho MS , Clara Vila-Castelar PhD , Erika Meza PhD , C Elizabeth Shaaban PhD , Prof Rachel A Whitmer PhD , Paola Gilsanz PhD , Elizabeth Rose Mayeda","doi":"10.1016/S2666-7568(24)00129-6","DOIUrl":"10.1016/S2666-7568(24)00129-6","url":null,"abstract":"<div><h3>Background</h3><p>Intersectionality has rarely been considered in research studies of cognitive ageing. We investigated whether life-course financial mobility is differentially associated with later-life memory function and decline across intersectional identities defined by gender, and race and ethnicity.</p></div><div><h3>Methods</h3><p>Data were from two harmonised multiethnic cohorts (the Kaiser Healthy Aging and Diverse Life Experiences cohort and the Study of Healthy Aging in African Americans cohort) in northern California, USA (n=2340). Life-course financial mobility, measured using a combination of self-reported financial capital measures in childhood (from birth to age 16 years) and later adulthood (at the cohort baseline) was defined as consistently high, upwardly mobile, downwardly mobile, or consistently low. We clustered individuals into 32 strata representing intersectional identities defined by life-course financial mobility combined with gender, and race and ethnicity. Verbal episodic memory was assessed using the Spanish and English Neuropsychological Assessment Scales over four waves from 2017 to 2023. Adjusted mixed-effects linear regression models were estimated with and without fixed effects of gender, race and ethnicity, and financial mobility, to evaluate whether the random effects of the intersectional identity strata contributed variance to memory beyond individual fixed effects.</p></div><div><h3>Findings</h3><p>Mean age was 73·6 years (SD 8·1). Of 2340 individuals, 1460 (62·4%) were women, 880 (37·6%) were men, 388 (16·6%) were Asian, 1136 (48·5%) were Black, 334 (14·3%) were Latinx, and 482 (20·6%) were White. Consistently low and downwardly mobile financial capital were strongly negatively associated with later-life memory at baseline (–0·162 SD units [95% CI –0·273 to –0·051] for consistently low and –0·171 [–0·250 to –0·092] for downwardly mobile), but not rate of change over time. Intersectional identities contributed 0·2% of memory variance after accounting for the fixed effects of gender, race and ethnicity, and financial mobility.</p></div><div><h3>Interpretation</h3><p>Consistently low and downward life-course financial mobility are associated with lower later-life memory function. Intersectional identities defined by financial mobility in addition to gender, and race and ethnicity, contribute negligible additional variance to later-life memory in this study setting.</p></div><div><h3>Funding</h3><p>US National Institute on Aging, US National Institutes of Health.</p></div>","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"5 9","pages":"Article 100613"},"PeriodicalIF":13.4,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666756824001296/pdfft?md5=e05617b92e985c04bf8be870390e4a3d&pid=1-s2.0-S2666756824001296-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142120782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jennifer Taylor PhD , Kristy P Robledo PhD , Vicente Medel PhD , Prof Gillian Heller PhD , Thomas Payne MD , Jordan Wehrman PhD , Cameron Casey PhD , Phillip F Yang MBBS MS , Bryan M Krause PhD , Richard Lennertz MD PhD , Prof Sharon Naismith DPsych , Prof Armando Teixeira-Pinto PhD , Prof Robert D Sanders MBBS PhD
{"title":"Association between surgical admissions, cognition, and neurodegeneration in older people: a population-based study from the UK Biobank","authors":"Jennifer Taylor PhD , Kristy P Robledo PhD , Vicente Medel PhD , Prof Gillian Heller PhD , Thomas Payne MD , Jordan Wehrman PhD , Cameron Casey PhD , Phillip F Yang MBBS MS , Bryan M Krause PhD , Richard Lennertz MD PhD , Prof Sharon Naismith DPsych , Prof Armando Teixeira-Pinto PhD , Prof Robert D Sanders MBBS PhD","doi":"10.1016/j.lanhl.2024.07.006","DOIUrl":"10.1016/j.lanhl.2024.07.006","url":null,"abstract":"<div><h3>Background</h3><p>Previous studies have shown that major surgical and medical hospital admissions are associated with cognitive decline in older people (aged 40–69 years at recruitment), which is concerning for patients and caregivers. We aimed to validate these findings in a large cohort and investigate associations with neurodegeneration using MRI.</p></div><div><h3>Methods</h3><p>For this population-based study, we analysed data from the UK Biobank collected from March 13, 2006, to July 16, 2023, linked to the National Health Service Hospital Episode Statistics database, excluding participants with dementia diagnoses. We constructed fully adjusted models that included age, time, sex, <em>Lancet</em> Commission dementia risk factors, stroke, and hospital admissions with a participant random effect. Primary outcomes were hippocampal volume and white matter hyperintensities, both of which are established markers of neurodegeneration, and exploratory analyses investigated the cortical thickness of Desikan–Killiany–Tourville atlas regions. The main cognitive outcomes were reaction time, fluid intelligence, and prospective and numeric memory. Surgeries were calculated cumulatively starting from 8 years before the baseline evaluation.</p></div><div><h3>Findings</h3><p>Of 502 412 participants in the UK Biobank study, 492 802 participants were eligible for inclusion in this study, of whom 46 706 underwent MRI. Small adverse associations with cognition were found per surgery: reaction time increased by 0·273 ms, fluid intelligence score decreased by 0·057 correct responses, prospective memory (scored as correct at first attempt) decreased (odds ratio 0·96 [95% CI 0·95 to 0·97]), and numeric memory maximum correct matches decreased by 0·025 in fully adjusted models. Surgeries were associated with smaller hippocampal volume (β=−5·76 mm³ [−7·89 to −3·64]) and greater white matter hyperintensities volume (β=100·02 mm³ [66·17 to 133·87]) in fully adjusted models. Surgeries were also associated with neurodegeneration of the insula and superior temporal cortex.</p></div><div><h3>Interpretation</h3><p>This population-based study corroborates that surgeries are generally safe but cumulatively are associated with cognitive decline and neurodegeneration. Perioperative brain health should be prioritised for older and vulnerable patients, particularly those who have multiple surgical procedures.</p></div><div><h3>Funding</h3><p>The Australian and New Zealand College of Anaesthetists (ANZCA) Foundation and the University of Sydney.</p></div>","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"5 9","pages":"Article 100623"},"PeriodicalIF":13.4,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666756824001399/pdfft?md5=bd3cfbe08dfee9f5b21f45c2462307a5&pid=1-s2.0-S2666756824001399-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142156176","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yaping Wang MD , Prof Min Liu PhD , Prof Fude Yang MD , Prof Hongguang Chen MD , Prof Yaogang Wang PhD , Prof Jue Liu PhD
{"title":"The associations of socioeconomic status, social activities, and loneliness with depressive symptoms in adults aged 50 years and older across 24 countries: findings from five prospective cohort studies","authors":"Yaping Wang MD , Prof Min Liu PhD , Prof Fude Yang MD , Prof Hongguang Chen MD , Prof Yaogang Wang PhD , Prof Jue Liu PhD","doi":"10.1016/j.lanhl.2024.07.001","DOIUrl":"10.1016/j.lanhl.2024.07.001","url":null,"abstract":"<div><h3>Background</h3><p>Depression is the leading cause of mortality among mental health disorders. Evidence about the associations of socioeconomic status, social activities, and loneliness with depression is scarce. We aimed to identify whether social activities and loneliness mediate the association between socioeconomic status and depression, and the extent of interactive or joint relationships between social activities, loneliness, and socioeconomic status on depression.</p></div><div><h3>Methods</h3><p>In this population-based, cross-national cohort study we used data from five nationally representative surveys across 24 countries between Feb 15, 2008, and Feb 27, 2019: the Health and Retirement Study (HRS); the English Longitudinal Study of Ageing (ELSA); the Survey of Health, Ageing and Retirement in Europe (SHARE); the China Health and Retirement Longitudinal Study (CHARLS); and the Mexican Health and Ageing Study (MHAS). We included participants who were aged 50 years and older with reported information on socioeconomic status, social activities, and loneliness at baseline, and who had been assessed at least twice. We excluded participants with depressive symptoms at baseline; those with missing data on depressive symptoms and covariates; and those lost to follow-up. We defined socioeconomic status as high and low using latent class analysis based on family income, education, and employment status. Depression was assessed using the Center for Epidemiological Studies Depression Scale (CES-D) or EURO-D. We applied Cox proportional hazard models to estimate the association of socioeconomic status with depression. We used random-effects models to obtain pooled results. Joint and interactive effects of socioeconomic status, social activities, and loneliness on depression were explored, and the mediating roles of social activities and loneliness in the association between socioeconomic status and depression were explored using causal mediation analysis.</p></div><div><h3>Findings</h3><p>A total of 69 160 participants were included in our study and, during a median follow-up of 5 years, a total of 20 237 participants developed depression with a pooled incidence of 7·2 (95% CI 4·4–10·0) per 100 person-years. Compared with participants with high socioeconomic status, those with low socioeconomic status had a higher risk of depression (pooled hazard ratio [HR] 1·34; 95% CI 1·23–1·44). The proportion of the associations between socioeconomic status and depression mediated by social activities and loneliness were 6·12% (1·14–28·45) and 5·54% (0·71–27·62), respectively. We only observed a significant multiplicative interaction of socioeconomic status and loneliness with depression (pooled HR 0·84; 0·79–0·90). Compared with participants with high socioeconomic status and who were socially active and not lonely, those with low socioeconomic status and who were socially inactive and lonely had a higher risk of depression (pooled HR 2·45; 2·08–2·82).","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"5 9","pages":"Article 100618"},"PeriodicalIF":13.4,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S266675682400134X/pdfft?md5=412aa34e9dea043387eb9d7c218215ac&pid=1-s2.0-S266675682400134X-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142112843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Filipa Landeiro DPhil , Callum Harris MA BMBCH , David Groves MSc , Samuel O’Neill MBBS , Kuljinder Singh Jandu MBChB , Eliana M C Tacconi DPhil , Samantha Field MSc , Nileema Patel MSc , Anya Göpfert MSc , Hannes Hagson MSc , José Leal DPhil , Ramón Luengo-Fernández DPhil
{"title":"The economic burden of cancer, coronary heart disease, dementia, and stroke in England in 2018, with projection to 2050: an evaluation of two cohort studies","authors":"Filipa Landeiro DPhil , Callum Harris MA BMBCH , David Groves MSc , Samuel O’Neill MBBS , Kuljinder Singh Jandu MBChB , Eliana M C Tacconi DPhil , Samantha Field MSc , Nileema Patel MSc , Anya Göpfert MSc , Hannes Hagson MSc , José Leal DPhil , Ramón Luengo-Fernández DPhil","doi":"10.1016/S2666-7568(24)00108-9","DOIUrl":"10.1016/S2666-7568(24)00108-9","url":null,"abstract":"<div><h3>Background</h3><p>Cancer, coronary heart disease, dementia, and stroke are major contributors to morbidity and mortality in England. We aimed to assess the economic burden (including health-care, social care, and informal care costs, as well as productivity losses) of these four conditions in England in 2018, and forecast this cost to 2050 using population projections.</p></div><div><h3>Methods</h3><p>We used individual patient-level data from the Clinical Practice Research Datalink (CPRD) Aurum, which contains primary care electronic health records of patients from 738 general practices in England, to calculate health-care and residential and nursing home resource use, and data from the English Longitudinal Study on Ageing (ELSA) to calculate informal and formal care costs. From CPRD Aurum, we included patients registered on Jan 1, 2018, in a CPRD general practice with Hospital Episode Statistics (HES)-linked records, omitting all children younger than 1 year. From ELSA, we included data collected from wave 9 (2018–19). Aggregate English resource use data on morbidity, mortality, and health-care, social care, and informal care were obtained and apportioned, using multivariable regression analyses, to cancer, coronary heart disease, dementia, and stroke.</p></div><div><h3>Findings</h3><p>We included 4 161 558 patients from CPRD Aurum with HES-linked data (mean age 41 years [SD 23], with 2 079 679 [50·0%] men and 2 081 879 [50·0%] women) and 8736 patients in ELSA (68 years [11], with 4882 [55·9 %] men and 3854 [44·1%] women). In 2018, the total cost was £18·9 billion (95% CI 18·4–19·4) for cancer, £12·7 billion (12·3–13·0) for coronary heart disease, £11·7 billion (9·6–12·7) for dementia, and £8·6 billion (8·2–9·0) for stroke. Using 2050 English population projections, we estimated that costs would rise by 40% (39–41) for cancer, 54% (53–55) for coronary heart disease, 100% (97–102) for dementia, and 85% (84–86) for stroke, for a total of £26·5 billion (25·7–27·3), £19·6 billion (18·9–20·2), £23·5 billion (19·3–25·3), and £16·0 billion (15·3–16·6), respectively.</p></div><div><h3>Interpretation</h3><p>This study provides contemporary estimates of the wide-ranging impact of the most important chronic conditions on all aspects of the economy in England. The data will help to inform evidence-based polices to reduce the impact of chronic disease, promoting care access, better health outcomes, and economic sustainability.</p></div><div><h3>Funding</h3><p>Alzheimer's Research UK.</p></div>","PeriodicalId":34394,"journal":{"name":"Lancet Healthy Longevity","volume":"5 8","pages":"Pages e514-e523"},"PeriodicalIF":13.4,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666756824001089/pdfft?md5=e457d0f2af96e04d97c9bfe514b3cebd&pid=1-s2.0-S2666756824001089-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141789346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}