The association between metabolic syndrome and successful aging- using an extended definition of successful aging

Prevalence of metabolic syndrome in patients with inflammatory bowel disease: a meta-analysis on a global scale

BACKGROUND

Metabolic syndrome (MetS) is a cluster of metabolic abnormalities that increase the risk of cardiovascular diseases (CVD). Patients with inflammatory bowel disease (IBD) may be at higher risk of developing MetS due to chronic inflammation, altered adipokine profiles, and the effects of corticosteroid treatment. However, the prevalence of MetS in IBD patients remains inconsistent across studies. This meta-analysis aims to estimate the prevalence of MetS in IBD patients and compare its occurrence between Crohn's disease (CD) and ulcerative colitis (UC).

METHODS

A systematic search was conducted across PubMed, Scopus, Embase, and Web of Science from their inception up to January 19, 2025. Eligible observational studies reporting MetS prevalence in IBD patients were included. Meta-analysis was performed using a random-effects model, with heterogeneity assessed via the I² statistic. Comprehensive Meta-Analysis (CMA) software, version 4.0 was used for analysis.

RESULTS

The pooled prevalence of MetS in IBD patients was 21.8% (95% CI: 14.3-31.6%). The prevalence was higher in UC patients (32.7%, 95% CI: 16.0-55.5%) compared to CD patients (14.1%, 95% CI: 8.6-22.3%). Patients with UC had significantly higher odds of MetS than those with CD (OR = 1.38, 95% CI: 1.03-1.85, P = 0.02). Additionally, IBD patients with MetS were significantly older than those without (MD: 9.89, 95% CI: 5.12-14.67, P < 0.01).

CONCLUSION

In summary, this meta-analysis reveals a notable prevalence of MetS among patients with IBD, particularly in those with UC, where the prevalence is higher than in CD. The analysis also shows that IBD patients with MetS tend to be older, suggesting age as a contributing factor. These findings underscore the need for routine metabolic screening in IBD care, especially in UC and elderly patients.

Sociodemographic, lifestyle and psychological factors associated with healthy ageing in a national longitudinal study of middle-aged and older adults in Thailand

The aim of this study was to estimate the longitudinal associations with healthy ageing as well as its association with mortality in a national sample in Thailand. The analytic sample consisted of 2585 participants (≥45 years) in four study assessments in 2015, 2017, 2020, and 2022. The distribution of the healthy ageing components at baseline was 93.7% no major disease, 97.2% no activities of daily living (ADL) disability, 86.3% no depression, 91.8% social engagement and 88.1% high quality of life (QoL); healthy ageing increased from 64.7% in 2015 to 67.1% in 2022. Standardised self-reported measures were used to assess healthy ageing components and covariates. In the adjusted GEE logistic regression analysis, working, high subjective economic status, high physical activity or exercise, and high subjective life expectancy were positively associated, and aged 70 years and older, widowed, past smoking, having underweight, obesity, and low self-rated physical health were negatively associated with healthy ageing. In addition, in adjusted Cox regression, healthy ageing was negatively associated with mortality. Sociodemographic factors, lifestyle indicators, self-rated physical health and subjective life expectancy were associated with healthy ageing. Addressing modifiable factors (e.g. lifestyle factors such as physical activity, smoking or underweight and/or obesity) may contribute to healthy ageing.

Trajectory of Cognitive Decline Before and After Stroke in 14 Population Cohorts

Importance

Poststroke cognitive impairment is common, but the cognitive trajectory following a first stroke, relative to prestroke cognitive function, remains unclear.

Objective

To map the trajectory of cognitive function before any stroke and after stroke in global cognition and in 4 cognitive domains, as well as to compare the cognitive trajectory prestroke in stroke survivors with the trajectory of individuals without incident stroke over follow-up.

Design, Setting, and Participants

The study used harmonized and pooled data from 14 population-based cohort studies included in the Cohort Studies of Memory in an International Consortium collaboration. These studies were conducted from 1993 to 2019 across 11 countries among community-dwelling older adults without a history of stroke or dementia. For this study, linear mixed-effects models were used to estimate trajectories of cognitive function poststroke relative to a stroke-free cognitive trajectory. The full model adjusted for demographic and vascular risk factors. Data were analyzed from July 2022 to March 2024.

Exposure

Incident stroke.

Main outcomes and measures

The primary outcome was global cognition, defined as the standardized average of 4 cognitive domains (language, memory, processing speed, and executive function). Cognitive domain scores were formed by selecting the most commonly administered test within each domain and standardizing the scores.

Results

The study included 20 860 participants (12 261 [58.8%] female) with a mean (SD) age of 72.9 (8.0) years and follow-up of 7.51 (4.2) years. Incident stroke was associated with a substantial acute decline in global cognition (-0.25 SD; 95% CI, -0.33 to -0.17 SD), the Mini-Mental State Examination, and all cognitive domains (ranging from -0.17 SD to -0.22 SD), as well as accelerated decline in global cognition (-0.038 SD per year; 95% CI, -0.057 to -0.019 SD per year) and all domains except memory (ranging from -0.020 to -0.055 SD per year), relative to a stroke-free cognitive trajectory. There was no significant difference in prestroke slope in stroke survivors compared with the rate of decline in individuals without stroke in all cognitive measures. The mean rate of decline without a previous stroke was -0.049 SD per year (95% CI, -0.051 to -0.047 SD) in global cognition.

Conclusions and relevance

In this cohort study using pooled data from 14 cohorts, incident stroke was associated with acute and accelerated long-term cognitive decline in older stroke survivors.

Determinants and indicators of successful aging as a multidimensional outcome: a systematic review of longitudinal studies

Background

Successful aging (SA) has been coined as a term to describe the multidimensional aspects associated with achieving optimal combination of physical and mental health along with social well-being health, mental and social well-being at older age. In recent years there has been an increased interest in understanding the role of determinants of SA, such as demographic, biological, behavioral, psychological and social factors. To synthesize the recent evidence, we conducted a systematic review of longitudinal studies on a range of determinants and indicators of SA defined as a multidimensional outcome.

Methods

A systematic search of PubMed, MEDLINE and Web of Science for finding eligible papers published between August 2016 and June 2023 was conducted following the Preferred Reporting Items for a Systematic Review and Meta-Analysis (PRISMA) guidelines. The review protocol was registered in PROSPERO International Prospective Register of Systematic Reviews (Registration number: CRD42021250200). The web-based automated screening tool-Rayyan-was used for title and abstract screening. The study quality was assessed using the Quality in Prognosis Studies (QUIPS) tool.

Results

A total of 3,191 records were initially identified using the predefined search strategy. Out of 289 articles selected for full text screening, 22 were found eligible and included in the review. A variety of factors have been explored in relation to SA, ranging from socio-demographic factors, nutrition, lifestyle, biological pathways, psychological health, and well-being. Overall, the results of recent studies have confirmed the role of metabolic health, adherence to healthy dietary patterns, such as the Mediterranean diet, physical activity, non-smoking, and higher socio-economic status as main factors associated with higher odds for SA. Emerging research highlights the role of psycho-social factors and early life health as determinants of SA.

Conclusion

In summary, this review highlights the importance of healthy living and monitoring metabolic risk along with sustaining psychological well-being in adult life as major determinants of SA. Further methodological and research work on SA would pave the way toward development of adequate health promotion policies in aging societies.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42021250200, CRD42021250200.

Using an adaptive network-based fuzzy inference system for prediction of successful aging: a comparison with common machine learning algorithms

INTRODUCTION

The global society is currently facing a rise in the elderly population. The concept of successful aging (SA) appeared in the gerontological literature to overcome the challenges and problems of population aging. SA is a subjective and multidimensional concept with many ambiguities regarding its meaning or measuring. This study aimed to propose an intelligent predictive model to predict SA.

METHODS

In this retrospective study, the data of 784 elderly people were used to develop and validate machine learning (ML) methods. Data pre-processing was first performed. First, an adaptive neuro-fuzzy inference system (ANFIS) was proposed to predict SA. Then, the predictive performance of the proposed model was compared with three ML algorithms, including multilayer perceptron (MLP) neural network, support vector machine (SVM), and random forest (RF) based on accuracy, sensitivity, precision, and F-score metrics.

RESULTS

The findings indicated that the ANFIS model with gauss2mf built-in membership function (MF) outperformed the other models with accuracy, sensitivity, precision, and F-score of 91.57%, 95.18%, 92.31%, and 92.94%, respectively.

CONCLUSIONS

The predictive performance of ANFIS is more efficient than the other ML models in SA prediction. The development of a decision support system (DSS) using our prediction model can provide healthcare administrators and policymakers with a reliable and responsive tool to improve elderly outcomes.

Nutrients, Physical Activity, and Mitochondrial Dysfunction in the Setting of Metabolic Syndrome

Metabolic syndrome (MetS) is a cluster of metabolic risk factors for diabetes, coronary heart disease, non-alcoholic fatty liver disease, and some tumors. It includes insulin resistance, visceral adiposity, hypertension, and dyslipidemia. MetS is primarily linked to lipotoxicity, with ectopic fat deposition from fat storage exhaustion, more than obesity per se. Excessive intake of long-chain saturated fatty acid and sugar closely relates to lipotoxicity and MetS through several pathways, including toll-like receptor 4 activation, peroxisome proliferator-activated receptor-gamma regulation (PPARγ), sphingolipids remodeling, and protein kinase C activation. These mechanisms prompt mitochondrial dysfunction, which plays a key role in disrupting the metabolism of fatty acids and proteins and in developing insulin resistance. By contrast, the intake of monounsaturated, polyunsaturated, and medium-chain saturated (low-dose) fatty acids, as well as plant-based proteins and whey protein, favors an improvement in sphingolipid composition and metabolic profile. Along with dietary modification, regular exercises including aerobic, resistance, or combined training can target sphingolipid metabolism and improve mitochondrial function and MetS components. This review aimed to summarize the main dietary and biochemical aspects related to the physiopathology of MetS and its implications for mitochondrial machinery while discussing the potential role of diet and exercise in counteracting this complex clustering of metabolic dysfunctions.

Effect of a Community Gerontology Program on the Control of Metabolic Syndrome in Mexican Older Adults

Background: Metabolic syndrome (MS) is highly prevalent in older adults; it constitutes a risk factor for cognitive deterioration, frailty, and Alzheimer’s disease. For this reason, the WHO has pointed out the importance of the implementation of community programs for the training of healthy aging. The aim of this study was to evaluate the effect of a community gerontology program framed in active aging on the control of metabolic syndrome in older adults. Methods: An experimental study was carried out in a convenience sample of 80 older adults diagnosed with MS according to the ATPIII criteria, comprising (1) experimental group (EG), n = 40; (2) control group (CG), n = 40. During a 6-month period, the EG participated in a supervised community gerontology program, and the CG was assessed monthly. Results: A statistically significant decrease was observed in the number of components for the diagnosis of MS. In this regard, of the total of participants with a diagnosis of MS in EG, only 28% maintained the diagnosis of MS (ATPIII ≥ 3 criteria), in contrast to 83% of the CG participants (p < 0.0001). Conclusions: Our findings suggest that health self-care training within the framework of active aging is effective for the control of MS in older adults.