Trajectories of depressive symptoms and risk of cardiovascular disease, cancer and mortality: a prospective cohort study

General Psychiatry, Journal Year: 2024, Volume and Issue: 37(3), P. e101456 - e101456

Published: May 1, 2024

Background Depressive symptoms are established risk factors for various health outcomes. However, previous studies assessed depressive at a single time point, neglecting individual variations over time. Aims To identify trajectories through repeated measures and examine their associations with cardiovascular disease (CVD), cancer mortality. Methods This study included 20 634 UK Biobank participants free of CVD baseline two or more assessments during 2006–2016. Group-based trajectory modelling identified trajectories. Incident CVD, mortality were followed up until 2021 linked registries. Results Six identified: no (n=6407), mild-stable (n=11 539), moderate-stable (n=2183), severe-decreasing (n=206), moderate-increasing (n=177) severe-stable (n=122). During median follow-up 5.5 years, 1471 cases, 1275 cases 503 deaths documented. Compared the trajectory, mild-stable, exhibited higher risk, hazard ratios (HRs) (95% CIs) 1.19 (1.06 to 1.34), 1.32 (1.08 1.34) 2.99 (1.85 4.84), respectively. Moderate-increasing associated risks, HRs 2.27 (1.04 4.93) 3.26 (1.55 6.88), was not risks adverse We did find significant between any cancer. Conclusions Trajectories related stable increasing symptoms, but severe initial assessment decreasing follow-up, Alleviating onset may mitigate risks.

Language: Английский

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Nuclear magnetic resonance-based metabolomics with machine learning for predicting progression from prediabetes to diabetes

eLife, Journal Year: 2024, Volume and Issue: 13

Published: July 16, 2024

Identification of individuals with prediabetes who are at high risk developing diabetes allows for precise interventions. We aimed to determine the role nuclear magnetic resonance (NMR)-based metabolomic signature in predicting progression from diabetes. This prospective study included 13,489 participants had data UK Biobank. Circulating metabolites were quantified via NMR spectroscopy. Cox proportional hazard (CPH) models performed estimate associations between and risk. Supporting vector machine, random forest, extreme gradient boosting used select optimal metabolite panel prediction. CPH survival forest (RSF) utilized validate predictive ability metabolites. During a median follow-up 13.6 years, 2525 developed After adjusting covariates, 94 168 associated A nine metabolites, selected by all three machine-learning algorithms, was found significantly improve prediction beyond conventional factors model (area under receiver-operating characteristic curve, 1 year: 0.823 + vs 0.759 factors, 5 years: 0.830 0.798, 10 0.801 0.776, p < 0.05). Similar results observed RSF model. Categorization according predicted value thresholds revealed distinct cumulative Our lends support use markers help progressing inform targeted efficient Shanghai Municipal Health Commission (2022XD017). Innovative Research Team High-level Local Universities (SHSMU-ZDCX20212501). Human Resources Social Security Bureau (2020074). Clinical Plan Hospital Development Center (SHDC2020CR4006). Science Technology Municipality (22015810500).

Language: Английский

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Loneliness in older Chinese adults amid the COVID‐19 pandemic: Prevalence and associated factors

Asia-Pacific Psychiatry, Journal Year: 2023, Volume and Issue: 15(4)

Published: Aug. 10, 2023

Data on loneliness among older adults in China during the COVID-19 pandemic are still scarce. This study aimed to examine prevalence of and identify its associated factors Chinese pandemic.During pandemic, 1268 (aged 50+ years) were recruited through snowball sampling. The version validated six-item De Jong Gierveld Loneliness Scale was used assess participants' recent feelings loneliness, a cut-off score two or more indicate presence loneliness.Loneliness experienced by 37.9% participants days. Factors significantly with included male sex (vs. female, OR: 1.62, p < .001), an education level middle school below college above, 1.50, = .007), residing epicenter other provinces, 1.48, .004), concern about contracting (OR: 1.68, poor knowledge 2.39, .012), physical health problems 1.65, .001).Loneliness is common amid pandemic. Targeted intervention programs may be effective reducing who worried COVID-19, have knowledge, experience problems.

Language: Английский

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Depression in Heart Failure with Reduced Ejection Fraction, an Undervalued Comorbidity: An Up-To-Date Review

Medicina, Journal Year: 2023, Volume and Issue: 59(5), P. 948 - 948

Published: May 15, 2023

Introduction: Depression is a common and severe comorbidity among individuals with heart failure (HF). Up to third of all HF patients are depressed, an even higher proportion have symptoms depression. Aim: In this review, we evaluate the relationship between depression, explain pathophysiology epidemiology both diseases their relationship, highlight novel diagnostic therapeutic options for Materials Methods: This narrative review involved keyword searches PubMed Web Science. Review search terms included [“Depression” OR “Depres*” “major depr*”] AND [“Heart Failure” “HF” “HFrEF” “HFmrEF” “HFpEF” “HFimpEF”] in fields. Studies met following criteria: (A) published peer-reviewed journal; (B) described impact depression on vice versa; (C) were opinion papers, guidelines, case studies, descriptive randomized control trials, prospective retrospective reviews, systematic reviews. Results: emergent risk factor strongly relates worse clinical outcomes. share multiple pathways, including platelet dis-reactivity, neuroendocrine malfunction, inappropriate inflammation, tachi-arrhythmias, frailty social community setting. Existing guidelines urge evaluation patients, numerous screening tools available. ultimately diagnosed based DSM-5 criteria. There non-pharmaceutical pharmaceutical treatments Regarding depressed symptoms, treatments, such as cognitive-behavioral therapy physical exercise, shown results, under medical supervision effort level adapted patient’s resources, together optimal treatment. selective serotonin reuptake inhibitors, backbone antidepressant treatment, did not demonstrate advantage over placebo HF. New medications currently being studied could provide chance enhance management, Conclusions: Despite substantial link HF, combination underdiagnosed undertreated. Considering hopeful yet unclear findings further research required identify people who may benefit from medication. The goal future should be complete approach care these anticipated become significant burden future.

Language: Английский

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The Effect of Social Isolation on 1-Year Outcomes After Surgical Repair of Low Energy Hip Fracture

Journal of Orthopaedic Trauma, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 12, 2024

OBJECTIVES: To evaluate if social isolation or loneliness is associated with outcomes 1 year after low energy hip fracture. METHODS: Design: Prospective inception cohort study. Setting: Academic Level I Trauma Center. Patient Selection Criteria: Participants were ≥ 65 years of age and enrolled 2-4 days surgery for a first Exclusion criteria bilateral periprosthetic fracture, previous non-English speaking, international address, active cancer, stage 4 cancer in the past 5 years, radiation to region cognitive impairment. followed longitudinally one year. Outcome Measures Comparisons: The PROMIS-29 was elicited post-operatively later. reported risk factors included Lubben Social Networks Scale UCLA Loneliness Scale, which compared Lower Extremity Activity domains. RESULTS: Three hundred twenty-five patients enrolled. had median 81.7 70.9 % female 85.9% white. 31.6% socially isolated at time At year, 222 291 subjects who confirmed alive provided data. Multivariable linear models performed separately each outcome, including Controlling age, sex, education, body mass index, those fracture worse function (β= -3.83 p= 0.02) ability participate roles -4.17 0.01) Secondary analyses found that pre-fracture clinically meaningfully function, anxiety, depression, fatigue, sleep, pain (all p< 0.01). CONCLUSIONS: Pre-fracture surgical repair This data suggests may be more strongly important patient centric metrics than isolation. Given dearth modifiable this population, future studies are needed whether improving connections could impact rapidly growing demographic.

Language: Английский

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Prognostic Value of Objective Social Isolation and Loneliness in Older Patients With Heart Failure: Subanalysis of FRAGILE‐HF and Kitasato Cohort

Journal of the American Heart Association, Journal Year: 2024, Volume and Issue: 13(10)

Published: May 10, 2024

Social factors encompass a broad spectrum of nonmedical factors, including objective (social isolation [SI]) and perceived (loneliness) conditions. Although social have attracted considerable research attention, information regarding their impact on patients with heart failure is scarce. We aimed to investigate the prognostic SI loneliness in older failure.

Language: Английский

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Author response: Nuclear magnetic resonance-based metabolomics with machine learning for predicting progression from prediabetes to diabetes

Published: July 16, 2024

Identification of individuals with prediabetes who are at high risk developing diabetes allows for precise interventions. We aimed to determine the role nuclear magnetic resonance (NMR)-based metabolomic signature in predicting progression from diabetes.This prospective study included 13,489 participants had data UK Biobank. Circulating metabolites were quantified via NMR spectroscopy. Cox proportional hazard (CPH) models performed estimate associations between and risk. Supporting vector machine, random forest, extreme gradient boosting used select optimal metabolite panel prediction. CPH survival forest (RSF) utilized validate predictive ability metabolites.During a median follow-up 13.6 years, 2,525 developed diabetes. After adjusting covariates, 94 168 associated A nine metabolites, selected by all three machine learning algorithms, was found significantly improve prediction beyond conventional factors model (area under receiver operating characteristic curve [AUROC], 1-year: 0.823 + vs 0.759 factors, 5-year: 0.830 0.798, 10-year: 0.801 0.776, P <0.05). Similar results observed RSF model. Categorization according predicted value thresholds revealed distinct cumulative diabetes.Our lends support use markers help progressing inform targeted efficient interventions.Shanghai Municipal Health Commission (2022XD017). Innovative Research Team High-level Local Universities Shanghai (SHSMU-ZDCX20212501). Human Resources Social Security Bureau (2020074). Clinical Plan Hospital Development Center (SHDC2020CR4006).

Language: Английский

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Long‐term exposure to fine particulate matter constituents, genetic susceptibility, and incident heart failure among 411 807 adults

European Journal of Heart Failure, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 22, 2024

Language: Английский

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Associations of social isolation with memory and cognitive function in middle-aged and older Chinese adults

Aging Clinical and Experimental Research, Journal Year: 2025, Volume and Issue: 37(1)

Published: March 8, 2025

Abstract Background Although social isolation has been identified as a risk factor for cognitive impairment, its potential impact relative to other documented factors not comprehensively quantified, leading underestimation in public health strategies. We aimed address this gap by quantifying the contribution of decline context factors. Methods Social was evaluated using modified Network Index (SNI) and function through Delayed Word Recall Test (DWRT) Mini-Mental State Examination (MMSE). Linear logistic regression models were employed analyze associations between outcomes, adjusting demographic health-related Additionally, XGBoost algorithm with SHapley Additive exPlanations (SHAP) used quantify importance predictors. Results A total 25,981 participants recruited from 2003 2008. The mean age 62.0 years, 28.4% being men. Higher significantly associated lower DWRT (β=-0.15; 95% CI: -0.21 -0.09) MMSE scores (β=-0.34; -0.48 -0.19), higher odds memory impairment (OR = 1.27; 1.15 1.40) poor 1.56; 1.23 1.99). analysis ranked fifth most important predictor (SHAP value 0.175) eighth 0.0133). Subgroup analyses indicated stronger among older adults, individuals education or manual occupation. Conclusion Our findings showed that is an outcomes. This underscores urgent need targeted interventions addressing isolation, alongside key factors, preserve health.

Language: Английский

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Social isolation and risk of mortality in middle-aged and older adults with arthritis: a prospective cohort study of four cohorts

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 8, 2025

Social isolation is common and associated with many adverse outcomes. The evidence regarding social mortality among middle-aged older adults arthritis was lacking. study aimed to examine the association between in this population. This used data from four prospective cohorts: National Health Aging Trends Study (NHATS), English Longitudinal of Ageing (ELSA), China Retirement (CHARLS), Chinese Healthy Longevity Survey (CLHLS). Individuals (including osteoarthritis rheumatoid arthritis) these cohorts were included. assessed using self-reported questionnaires. Cox proportional hazards regression models conducted evaluate associations. At baseline, a total 16,035 individuals (3872 NHATS, 3259 ELSA, 5645 CHARLS, CLHLS) increased risk meta-analysis (hazard ratio [HR] 1.42, 95% confidence interval [CI]: 1.26–1.59), individual (NHATS: HR 1.53, CI 1.19–1.97; ELSA: 1.31, 1.02–1.67; CLHLS: 1.50, 1.36–1.64) after being adjusted for confounder factors. Additionally, increasing score, also (HR 1.19, 1.15–1.24), as well 1.22, 1.14–1.30; 1.13–1.26). Subgroups analysis results suggested that independently higher likelihood arthritis, regardless gender, lifestyles, chronic diseases.

Language: Английский

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