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result(s) for
"Exercise for middle-aged persons."
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The rise of over-40s fitness fanatics
2019
Documents the rise of endurance events taking place around New Zealand, and the large numbers of middle aged people participating in them. Discusses the physical effects of ageing and the mental phenomenon of identity. Notes how certain events may galvanise people to exercise in challenging ways. Profiles multisport athletes Oamaru endurance coach Dougal Allan and Wellington ultra-marathon runner Fiona Hayvice. Covers the issues of addiction, costs, and how the older body seems suited to longer races. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.
Newspaper Article
Fitness after 40 : your strong body at 40, 50, 60, and beyond
\"Includes a 6-week total-body workout program.\"
A META analysis and systematic review of the effects of exercise interventions on middle-aged and elderly patients with depression
2025
This study sought to conduct a meticulous systematic review, delving into the efficacy of exercise interventions on depressive symptoms among middle-aged and older adults. Additionally, we aimed to scrutinize the nuanced influence of various intervention factors on the intricate relationship between exercise and depressive symptoms within this demographic.
Our investigation involved an extensive search across multiple databases, including PubMed, Embase, Web of Science, and the Cochrane Library, spanning from the inception of these repositories to December 2023. Following a rigorous screening process, we identified and included 12 papers, encompassing a total of 994 subjects.
The meta-analysis unveiled a compelling overall effect size of exercise interventions on depressive symptoms in middle-aged and older individuals, represented by SMD = -0.41, with a 95% confidence interval of [-0.60, -0.22], and P < 0.0001. This statistical evidence underscores the significant and positive impact of exercise interventions on ameliorating depressive symptoms in this demographic. However, a degree of heterogeneity among studies was observed, with I2 = 48% and P = 0.03.
The comprehensive synthesis of outcomes elucidates the pronounced positive effect of exercise interventions in enhancing depressive symptoms among middle-aged and older adults. Specifically, the gentle and balanced exercise series emerges as particularly efficacious in mitigating depression. Furthermore, individual exercises stand out as more effective, with optimal results noted for moderate exercise sessions lasting 30 to 60 minutes. Our findings also highlight the superiority of short-term interventions, followed by medium- and long-term exercise interventions, in terms of efficacy. Nevertheless, recognizing the inherent heterogeneity and potential limitations of our study, we advocate for future large-scale, comprehensive investigations to validate these findings. Additionally, optimizing exercise intervention protocols necessitates a more nuanced understanding, urging further research endeavors to refine strategies aimed at improving depressive symptoms in middle-aged and older adults.
Journal Article
Pulmonary Rehabilitation in Patients Recovering from COVID-19
by
Zampogna, Elisabetta
,
Visca, Dina
,
Gandolfo, Alessandra
in
Aged
,
Clinical Investigations
,
COVID-19 - complications
2021
Background: In hospitalized patients recovering from the SARS-coronavirus-2 disease 19 (COVID-19), high prevalence of muscle weakness and physical performance impairment has been observed. Objectives: The aim of this study was to evaluate the effectiveness of pulmonary rehabilitation in these subjects in a real-life setting. Methods: Retrospective data analysis of patients recovering from COVID-19, including those requiring assisted ventilation or oxygen therapy, consecutively admitted to an in-patient pulmonary rehabilitation program between April 1 and August 15, 2020. Short Physical Performance Battery (SPPB: primary outcome), Barthel Index (BI), and six-min walking distance were assessed as outcome measures. Results: Data of 140 patients were analyzed. After rehabilitation, patients showed improvements in SPPB {from: (median [IQR]) 0.5 (0–7) to 7 (4–10), p < 0.001} and BI (from 55 [30–90] to 95 [65–100], p < 0.001), as well as in other assessed outcome measures. The proportion of patients unable at admission to stand, rise from a chair and walk was significantly reduced (p < 0.00). Conclusions: Pulmonary rehabilitation is possible and effective in patients recovering from COVID-19. Our findings may be useful to guide clinicians taking care of patients surviving COVID-19 infection.
Journal Article
Machine-learning model predicting quality of life using multifaceted lifestyles in middle-aged South Korean adults: a cross-sectional study
2024
Background
In the context of population aging, advances in healthcare technology, and growing interest in healthy aging and higher quality of life (QOL), have gained central focus in public health, particularly among middle-aged adults.
Methods
This study presented an optimal prediction model for QOL among middle-aged South Korean adults (N = 4,048; aged 30–55 years) using a machine-learning technique. Community-based South Korean population data were sampled through multistage stratified cluster sampling. Twenty-one variables related to individual factors and various lifestyle patterns were surveyed. QOL was assessed using the Short Form Health Survey (SF-12) and categorized into total QOL, physical component score (PCS), and mental component score (MCS). Seven machine-learning algorithms were used to predict QOL: decision tree, Gaussian Naïve Bayes, k-nearest neighbor, logistic regression, extreme gradient boosting, random forest, and support vector machine. Data imbalance was resolved with the synthetic minority oversampling technique (SMOTE). Random forest was used to compare feature importance and visualize the importance of each variable.
Results
For predicting QOL deterioration, the random forest method showed the highest performance. The random forest algorithm using SMOTE showed the highest area under the receiver operating characteristic (AUC) for total QOL (0.822), PCS (0.770), and MCS (0.786). Applying the data, SMOTE enhanced model performance by up to 0.111 AUC. Although feature importance differed across the three QOL indices, stress and sleep quality were identified as the most potent predictors of QOL. Random forest generated the most accurate prediction of QOL among middle-aged adults; the model showed that stress and sleep quality management were essential for improving QOL.
Conclusion
The results highlighted the need to develop a health management program for middle-aged adults that enables multidisciplinary management of QOL.
Journal Article
Full gas forever : a 40+ cyclist's guide to riding faster and further
by
Clancy, Ed, author
,
Williamson, Lexie, author
in
Cycling.
,
Exercise for middle-aged persons.
,
Sport.
2025
Getting older does not mean getting slower. Improving your performance is achievable despite the advance of the years. If you are a midlife rider who wants to ride faster and for longer, 'Full Gas Forever' provides the complete guide. Ed Clancy OBE, a three-time Olympic gold-medal winning cyclist and stretching and flexibility expert Lexie Williamson, are the ideal people to guide you through the strategies, training, benefits and pitfalls of going full-gas in your fourth or fifth decade.
Social network characteristics associated with mid-to-older aged adults’ co-engagement in physical activity
2025
Physical activity is associated with a greater quantity and quality of social connections. Participating in physical activity with others (co-engagement) has dual physical and social benefits that can promote healthy ageing. We aimed to understand the social network characteristics of mid-to-older aged adults associated with co-engagement in physical activity.
Adults aged 55-75 years completed a social network survey (3679 social contacts reported by 140 participants). Multilevel modelling was used to identify the characteristics of participants, social contacts, and relationships that were predictive of co-engagement in physical activity.
Network size and relationship quality were not associated with co-engagement. Similarity in age, greater interaction frequency, closer geographic proximity, and shorter relationship length were associated with higher odds of co-engagement.
For co-engagement, the quality and quantity of relationships were less important than the convenience and accessibility of relationships, particularly newer relationships. As such, co-engagement ties can be understood as part of a dynamic social convoy which fulfil a specific function at a specific life stage. An understanding of naturally occurring tendencies for co-engagement may be utilised to identify leverage points for the development of interventions.
Journal Article