{"id":653740,"date":"2026-08-24T11:48:13","date_gmt":"2026-08-24T11:48:13","guid":{"rendered":"https:\/\/www.europesays.com\/ie\/653740\/"},"modified":"2026-08-24T11:48:13","modified_gmt":"2026-08-24T11:48:13","slug":"these-simple-fitness-tests-revealed-which-older-adults-had-the-lowest-death-risk","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ie\/653740\/","title":{"rendered":"These simple fitness tests revealed which older adults had the lowest death risk"},"content":{"rendered":"

Simple tests of balance, mobility, strength, and aerobic fitness revealed striking differences in survival across more than 13,000 older adults.<\/strong><\/p>\n

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Study: Physical Fitness and All-Cause Mortality in Older Adults<\/a>. Image Credit: sebra \/ Shutterstock<\/p>\n

A recent study in JAMA Network Open<\/strong><\/a> assessed the link between objectively measured physical fitness and all-cause mortality among adults aged 65 years or older.<\/p>\n

The Role of Physical Activity in Healthy Aging<\/p>\n

Physical activity is essential for healthy aging, supporting physiological function, preventing chronic disease, and preserving independence. It is associated with reduced risks of cardiovascular disease, functional decline, and early mortality. However, clinical risk stratification in older adults is insufficient. Existing models rely on comorbidity and disease indicators, offering limited value for those in early stages of decline.<\/p>\n

Most epidemiologic studies depend on self-reported physical activity, which is prone to recall bias and measurement error, especially in older adults with multimorbidity or cognitive impairment. Although recent research considers multiple activity types, these complex profiles can be difficult to translate into routine clinical assessment, which requires simple, objective, and reproducible risk metrics.<\/p>\n

Objective physical fitness assessments, such as measures of cardiorespiratory fitness, strength, balance, and mobility, provide a functional perspective by quantifying physiological reserve. These performance-based metrics have been associated with mortality and adverse outcomes, partly independently of self-reported physical activity, yet evidence is limited regarding their applicability across multiple fitness domains, sexes, and non-Western populations.<\/p>\n

Few studies have evaluated multiple fitness domains and composite indices concurrently, and actionable dose-response relationships remain undefined. Addressing these research gaps is critical for developing function-based risk models and integrating objective fitness assessments as a complement to existing geriatric assessments into geriatric and internal medicine practice.<\/p>\n

Assessing the Association Between Physical Fitness and All-Cause Mortality in Older Adults<\/p>\n

The current study obtained relevant data from Taiwan\u2019s NPFSD and NHIRD, which were linked with secure encryption and deterministic matching.<\/p>\n

The NPFSD, established in 2013, recruits participants annually from 46 stations in 22 cities and counties to develop national fitness standards using quota-based convenience sampling with age- and sex-specific targets proportional to the national population distribution. The NHIRD provides health data covering more than 99% of the population, including medical visits, diagnoses, medications, procedures, and the death registry. Medical history was retrieved from January 1, 2007, to December 31, 2022.<\/p>\n

Participants aged 65 years or older were recruited, with anthropometric, sociodemographic, lifestyle, and self-reported health data collected through the NPFSD. After exclusions for lack of NHIRD linkage, missing fitness data, age over 90, conditions likely to limit fitness performance, or a Catastrophic Illness Certificate, 13,423 participants remained.<\/p>\n

Four fitness domains were measured: cardiorespiratory fitness, muscular fitness, flexibility, and balance and agility. Cardiorespiratory fitness was measured by the 2-minute step test with individualized knee height. Muscular fitness included the 30-second arm curl using standard weights and the chair stand test. Flexibility was measured with the back scratch and chair sit-and-reach tests. Balance and agility were assessed with the one-leg stance and eight-foot up-and-go tests.<\/p>\n

The primary outcome was all-cause mortality through December 2022, ascertained from the NHIRD death registry. Each fitness assessment was grouped into sex-specific quintiles (Q1 = lowest, Q5 = highest). Researchers compared mortality across fitness levels and then adjusted the analyses for demographic, lifestyle, socioeconomic, geographic, and health factors.<\/p>\n

Higher Physical Fitness Is Associated With Lower Mortality Risk in Older Adults<\/p>\n

The study followed 13,423 older adults (62.5% women, median age 72 years) for 7 years. Only one-third were physically active, and common health problems included hypertension (50%), hyperlipidemia (30%), diabetes (25%), coronary heart disease (15%), and chronic kidney disease (10%).<\/p>\n

During follow-up, those who died were typically older, male, physically inactive, socioeconomically disadvantaged, more likely to live alone or in less urbanized areas, and had more comorbidities than survivors. Survivors consistently outperformed non-survivors in all physical fitness assessments, including measures of balance, agility, lower-body strength, and cardiorespiratory fitness.<\/p>\n

Men generally scored higher than women in cardiorespiratory fitness, lower-body strength, and balance\/agility; women demonstrated greater flexibility.<\/p>\n

Mortality risk increased progressively from the highest to the lowest fitness quintiles across all tests. The composite fitness index showed the most pronounced separation, with those in the top quintile having a 61% lower adjusted hazard of death than those in the bottom quintile. Balance and agility assessments showed the strongest individual associations, followed by lower-body strength and cardiorespiratory fitness, while upper-body strength and flexibility were less strongly associated with mortality.<\/p>\n

Sex-specific analyses revealed that, for men, balance and agility had the strongest associations with survival, followed by cardiorespiratory fitness. For women, lower-body strength, balance, and agility were similarly important, with cardiorespiratory fitness also associated with lower mortality. These patterns were robust in sensitivity analyses.<\/p>\n

Dose-response analyses showed nonlinear associations for some fitness measures, with mortality risk declining steeply at poorer performance levels before plateauing at higher levels. More broadly, the composite fitness index showed that much of the mortality difference was concentrated between the lowest-performing group and those with better overall fitness. These findings suggest that the greatest differences in mortality may occur among adults with the lowest fitness levels.<\/p>\n

Conclusions<\/p>\n

The current study found that higher levels of objectively measured physical fitness in older adults are strongly associated with a lower risk of all-cause mortality. The results underscore the importance of assessing multiple fitness domains, including balance, agility, lower-body strength, and cardiorespiratory fitness, in clinical settings to identify individuals at increased risk and inform interventions to promote healthy aging.<\/p>\n

Despite these important findings, several limitations warrant consideration. The observational design limits causal inference, and unmeasured confounding factors such as smoking status and body composition may persist despite adjustments. Reverse causation also cannot be ruled out, and fitness was measured at a single time point. Generalizability may also be limited by selection bias toward healthier, ambulatory participants and the lack of cause-specific mortality analysis. The study also did not formally test whether fitness measures improved prognostic accuracy compared with conventional comorbidity-based metrics.<\/p>\n

Future studies should incorporate longitudinal assessments, include more diverse populations, and determine whether objective fitness measures improve clinical risk prediction beyond existing approaches.<\/p>\n

Journal reference:<\/p>\n