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	<title>muscle power &#8211; Science</title>
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	<title>muscle power &#8211; Science</title>
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		<title>Muscle Power Fades Faster Than Strength With Age, Landmark Study of 319 Older Adults Reveals</title>
		<link>https://scienmag.com/muscle-power-fades-faster-than-strength-with-age-landmark-study-of-319-older-adults-reveals/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Sat, 17 Oct 2026 03:19:36 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Aging]]></category>
		<category><![CDATA[aging and muscle contraction speed]]></category>
		<category><![CDATA[aging-related changes in muscle force]]></category>
		<category><![CDATA[cross-sectional study on older adults]]></category>
		<category><![CDATA[DXA]]></category>
		<category><![CDATA[gender differences in muscle decline]]></category>
		<category><![CDATA[impact of muscle power on functional mobility]]></category>
		<category><![CDATA[importance of muscle power in geriatric assessment]]></category>
		<category><![CDATA[isokinetic dynamometry]]></category>
		<category><![CDATA[Mobility]]></category>
		<category><![CDATA[muscle mass measurement techniques]]></category>
		<category><![CDATA[muscle power]]></category>
		<category><![CDATA[muscle power decline with age]]></category>
		<category><![CDATA[muscle strength]]></category>
		<category><![CDATA[muscle strength vs power in elderly]]></category>
		<category><![CDATA[neuromuscular aging]]></category>
		<category><![CDATA[neuromuscular decline]]></category>
		<category><![CDATA[neuromuscular system properties]]></category>
		<category><![CDATA[older adults]]></category>
		<category><![CDATA[powerpenia]]></category>
		<category><![CDATA[sarcopenia]]></category>
		<category><![CDATA[sarcopenia diagnosis methods]]></category>
		<category><![CDATA[sex differences]]></category>
		<category><![CDATA[sit-to-stand]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=293086</guid>

					<description><![CDATA[A cross-sectional study of 319 adults aged 60 to 97 finds that lower-limb muscle power declines with age far more steeply than muscle mass or force, positioning power as the most sensitive biomarker of neuromuscular aging.]]></description>
										<content:encoded><![CDATA[<p>When an older adult struggles to rise from a chair, the problem is rarely that their muscles have simply shrunk. It is that those muscles can no longer contract quickly enough. A new cross-sectional study of 319 community-dwelling adults aged 60 to 97, led by Elodie Piche of Université Côte d&#8217;Azur and published in BMC Geriatrics, delivers one of the clearest demonstrations yet that the explosive quality of muscle — its power — erodes with age far more steeply than muscle mass or even maximal strength. The finding positions power, not size or force, as the most sensitive available signal of neuromuscular aging, and it raises an uncomfortable question for geriatric medicine: are we measuring the wrong thing when we screen older people for decline?</p>
<p>The research team set out to compare how three fundamental properties of the neuromuscular system — mass, force, and power — track against age, and whether those trajectories differ between men and women. Muscle mass was quantified using dual-energy X-ray absorptiometry, the gold-standard imaging technique that distinguishes lean tissue from fat and bone, yielding the appendicular skeletal muscle mass index that underpins most sarcopenia diagnoses. Muscle force was assessed in two ways: handgrip dynamometry, the familiar squeeze test performed in clinics worldwide, and maximal isometric contraction of the knee extensors, which captures the peak force the quadriceps can produce against an immovable resistance. Power, the product of force and velocity, was measured through isokinetic dynamometry — a motorized apparatus that holds limb movement at fixed angular speeds, allowing researchers to separate the torque a muscle generates from the speed at which it can generate it — and through sit-to-stand testing, which converts the mechanics of rising from a chair into a direct wattage estimate of lower-limb explosive capability.</p>
<p>The statistical verdict was unambiguous. In regression models, lower-limb muscle power showed a standardized association with age of β = −0.433, substantially stronger than the association for muscle force (β = −0.303) and dramatically stronger than that for muscle mass (β = −0.119), with all three reaching statistical significance at p &lt; 0.001. In practical terms, for every additional year of age, power declined at a rate far out of proportion to the modest shrinkage of the muscle itself. This dissociation is physiologically revealing. Muscle mass is a structural quantity; force reflects the contractile capacity of that structure under static conditions; but power demands that the neuromuscular system recruit motor units rapidly, coordinate them precisely, and sustain high firing frequencies. It is the most computationally demanding task a muscle performs, and it appears to be the first to falter.</p>
<p>The study&#8217;s authors are careful about one crucial limitation: because the design is cross-sectional, comparing different people of different ages at a single moment, it cannot establish whether power actually begins to decline earlier in life than force or mass. The steeper age gradient for power is consistent with that hypothesis, and it aligns with a growing body of evidence that has led some researchers to coin the term powerpenia for the age-related loss of muscular power, but longitudinal confirmation remains outstanding. What the cross-sectional data do establish is that at any given moment in the aging process, the gap between what a person&#8217;s muscles can do slowly and what they can do quickly widens in ways that conventional strength testing entirely misses.</p>
<p>Perhaps the most clinically consequential result concerns timing. When the researchers stratified their sample by decade, the strongest negative associations with age clustered between 71 and 80 years — the window in which power, force, and mass all deteriorated most sharply. After age 80, the pattern changed strikingly: fewer significant associations survived, and handgrip strength was the only measure that continued to show a clear relationship with age. This plateau effect after 80 has several possible interpretations. It may reflect a survivor effect, in which individuals who reach very old age with intact neuromuscular function represent a biologically selected group. It may also reflect a floor effect, in which so much function has already been lost by the ninth decade that the remaining variance is compressed. Either way, the finding suggests that the eighth decade of life is the critical battleground for interventions aimed at preserving mobility and independence.</p>
<p>Sex differences added a second layer of complexity. For several measured variables, the age associations were stronger in men than in women, with this pattern appearing most consistently for lower-limb power. Yet when the team ran age-stratified analyses, these sex-by-age interactions were not systematically reproduced across all subgroups, leaving the picture deliberately nuanced rather than definitive. The authors interpret this cautiously: sex may genuinely contribute to variability in how muscle power declines with age, but the evidence is not yet strong enough to declare that men and women age neuromuscularly along fundamentally different trajectories. What the finding does challenge is the assumption that any single definition or threshold of muscle power decline can be applied universally across sexes — a question the researchers explicitly flag as warranting further confirmation.</p>
<p>The implications for clinical practice are difficult to overstate. Current diagnostic frameworks for sarcopenia — the age-related loss of muscle mass and function — lean heavily on grip strength, gait speed, and DXA-derived mass. If power is the variable most tightly coupled to functional deterioration, then a patient whose grip strength and muscle mass look acceptable on paper may nonetheless be well along a trajectory toward mobility impairment, simply because their capacity for rapid force production has collapsed. Sit-to-stand power testing is particularly attractive in this regard: it requires no expensive dynamometer, translates directly into a task every older adult performs dozens of times daily, and its reference values have already been linked to adverse outcomes such as falls and hospitalization in independent studies. The French team&#8217;s results, generated under a protocol approved by the French Ethics Committee and prospectively registered as NCT05343286, give that argument fresh quantitative weight.</p>
<p>There is also a mechanistic story worth telling. The preferential loss of power over force is thought to reflect the selective vulnerability of type II fast-twitch muscle fibers, which are recruited precisely during high-velocity movements and are known to atrophy faster with age than slow-twitch type I fibers. Add to this the well-documented age-related slowing of motor unit firing rates, the decline in neural drive from the central nervous system, and the stiffening of tendons that changes how force is transmitted to bone, and a coherent picture emerges: aging dismantles the speed machinery of movement before it dismantles the strength machinery. Resistance training programs that emphasize velocity — lifting loads explosively rather than slowly — have shown promise in targeting exactly this deficit, and the new findings suggest such approaches deserve priority in preventive strategies for adults entering their seventies.</p>
<p>The study is not without caveats beyond its cross-sectional design. The sample, while large for a single-center investigation of this kind, was drawn from community-dwelling adults in southeastern France, and the oldest participants were necessarily survivors of their birth cohort. The measurement battery, though comprehensive, captures lower-limb function at fixed laboratory conditions rather than in the variable environments of daily life. And the authors themselves note that the sex-interaction results were inconsistent across analytical approaches, meaning any clinical tailoring by sex would be premature. Still, the core message survives these qualifications intact: of all the ways we currently quantify the aging muscle, power is the one that tracks most closely with the loss of the capabilities that actually matter — getting up, getting going, and staying independent.</p>
<p>As populations across the developed world age, the search for early biomarkers of physical decline has become something of a holy grail in geriatric research. This study makes a strong case that the grail has been sitting in plain sight, measurable with a chair, a stopwatch, and a bit of physics. Muscle power, the researchers conclude, should be treated as a key biomarker of neuromuscular aging and incorporated systematically into strategies designed to preserve independence in older adults. For the 319 volunteers who powered this study — some of them in their tenth decade — and for the billions who will follow them into old age, the fastest-moving target may also be the most important one to hit.</p>
<p><strong>Subject of Research:</strong> Age-related decline in lower-extremity muscle mass, force, and power in older adults and associated sex differences</p>
<p><strong>Article Title:</strong> Age-associated differences in lower-extremity muscle mass, force, and power in older adults: a cross-sectional analysis of sex differences</p>
<p><strong>Article References:</strong> Piche, E., Zory, R., Michel, E., Guerin, O., Colson, S. S., &amp; Chorin, F. (2026). Age-associated differences in lower-extremity muscle mass, force, and power in older adults: a cross-sectional analysis of sex differences. <em>BMC Geriatrics</em>. <a href="https://doi.org/10.1186/s12877-026-08274-0" rel="noopener noreferrer">https://doi.org/10.1186/s12877-026-08274-0</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s12877-026-08274-0" rel="noopener noreferrer">10.1186/s12877-026-08274-0</a></p>
<p><strong>Keywords:</strong> aging, sarcopenia, muscle power, muscle strength, neuromuscular decline, older adults, sit-to-stand, DXA, isokinetic dynamometry, sex differences, powerpenia, mobility</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">293086</post-id>	</item>
		<item>
		<title>Fast Walkers May Escape the Cognitive Toll of Aging, Dementia Risk Study Finds</title>
		<link>https://scienmag.com/fast-walkers-may-escape-the-cognitive-toll-of-aging-dementia-risk-study-finds/</link>
		
		<dc:creator><![CDATA[Cassandra Pierce]]></dc:creator>
		<pubDate>Tue, 06 Oct 2026 23:44:16 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Aging]]></category>
		<category><![CDATA[Aging and Cognitive Health]]></category>
		<category><![CDATA[aging-related cognitive erosion]]></category>
		<category><![CDATA[Alzheimer's disease and vascular dementia prevalence]]></category>
		<category><![CDATA[CITA GO-ON trial]]></category>
		<category><![CDATA[CITA GO-ON trial findings]]></category>
		<category><![CDATA[cognitive reserve]]></category>
		<category><![CDATA[dementia]]></category>
		<category><![CDATA[dementia prevention]]></category>
		<category><![CDATA[dementia risk factors in older adults]]></category>
		<category><![CDATA[early indicators of dementia]]></category>
		<category><![CDATA[Executive function]]></category>
		<category><![CDATA[gait speed]]></category>
		<category><![CDATA[grip strength as a predictor of dementia]]></category>
		<category><![CDATA[handgrip strength]]></category>
		<category><![CDATA[impact of walking speed on cognitive decline]]></category>
		<category><![CDATA[leg power and mental resilience]]></category>
		<category><![CDATA[lifestyle factors influencing dementia risk]]></category>
		<category><![CDATA[muscle power]]></category>
		<category><![CDATA[physical performance]]></category>
		<category><![CDATA[physical performance and executive function]]></category>
		<category><![CDATA[population-level dementia prevention strategies]]></category>
		<category><![CDATA[sarcopenia]]></category>
		<category><![CDATA[white matter hyperintensities]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=242699</guid>

					<description><![CDATA[A study of 920 older adults at elevated dementia risk found that higher gait speed, grip strength and leg power significantly weaken the association between age and executive function, with the age-related cognitive penalty becoming undetectable above exceptionally high performance thresholds.]]></description>
										<content:encoded><![CDATA[<p>Walking speed might seem like a mundane measure of fitness, but a new study suggests it could reveal who is most vulnerable to the cognitive erosion of aging. In an analysis of 920 older adults at elevated risk of dementia, researchers found that physical performance—how fast people walk, how hard they can grip, and how powerfully their legs can push—changes the strength of the link between age and executive function, the suite of mental skills that governs planning, self-control and the ability to switch between tasks. The findings, drawn from baseline data of the CITA GO-ON trial in Spain&#8217;s Basque Country, were published in the Journal of Cachexia, Sarcopenia and Muscle.</p>
<p>The stakes are enormous. Dementia currently affects roughly 50 million people worldwide, and projections suggest that number could nearly triple by 2050, reaching around 150 million. Alzheimer&#8217;s disease and vascular dementia account for the vast majority of cases, and in 30 to 40 percent of patients the two pathologies coexist. While new pharmacological therapies for early Alzheimer&#8217;s disease have generated excitement, they remain insufficient to slow the epidemic at a population level. The 2024 Lancet Commission on dementia prevention estimated that up to 45 percent of cases could be prevented by addressing 14 modifiable risk factors spanning early life, midlife and late life—among them hypertension, obesity, physical inactivity and social isolation.</p>
<p>Executive function is among the cognitive domains most sensitive to aging. Early losses in planning, inhibition and cognitive flexibility interfere with instrumental activities of daily living, reduce social participation and elevate dementia risk. Physical inactivity feeds this process through obesity, diabetes, dyslipidaemia and hypertension, but it also appears to act more directly: activity levels are consistently linked to executive performance over time. Objective markers such as gait speed, handgrip strength and leg muscle power integrate neuromuscular capacity, cardiometabolic health and central motor control into a single measurable phenotype, and previous research has tied them to independence, disability and dementia onset years before diagnosis.</p>
<p>What no study had done before, however, was test whether physical performance moderates—that is, changes the strength of—the relationship between age and executive function, rather than merely correlating with it. The research team, working with community-dwelling adults aged 60 to 85 recruited through town halls, mailings and media campaigns in Donostia/San Sebastián, enrolled participants with a high cardiovascular dementia risk score and subtle cognitive weaknesses, but without dementia or loss of functional independence. Only 6.8 percent of the sample met criteria for mild cognitive impairment, making the cohort a window into the preclinical stage of decline.</p>
<p>Executive function was measured with two well-validated instruments. The Trail Making Test asks participants to connect numbered circles and then to alternate between numbers and letters; subtracting the time for the simpler part from the harder part isolates the executive demands of task-switching. The Stroop test, in which people must name the ink colour of mismatched colour words, probes inhibitory control independently of literacy. Physical performance was assessed with a six-metre walk at usual pace, a handheld dynamometer measuring maximal grip force, and a leg press fitted with a linear encoder that captured peak lower-limb power during explosive contractions. Brain scans graded white matter hyperintensities—the hallmark of cerebral small vessel disease—on the Fazekas scale.</p>
<p>The results were striking in their consistency. After adjusting for sex, socioeconomic status, depressive symptoms, body mass index, anxiety, diabetes, hypertension, dyslipidaemia and smoking, all six age-by-performance interactions remained significant after false-discovery-rate correction. Each year of age added roughly 2.6 to 3.0 seconds to the Trail Making difference score and about half a second to Stroop interference, but higher physical performance blunted these penalties. Standardized interaction coefficients were modest yet reliable across both cognitive tests, and the pattern held whether the outcome was task-switching speed or inhibitory control.</p>
<p>The most novel contribution came from Johnson–Neyman analyses, which pinpoint the exact values of a moderator at which an effect disappears. For the whole sample, the damaging association between age and executive function became statistically undetectable above a gait speed of 1.83 metres per second, a handgrip strength of 48.8 kilograms, or a peak leg power of 438 watts on the Trail Making measure—and above 1.68 metres per second, 43.9 kilograms and 366 watts on the Stroop measure. These thresholds sit at the extreme upper end of the performance distribution: only about 1 to 16 percent of participants reached them, depending on the marker and test. The authors caution that these are sample-specific regions of significance, not clinical cutoffs ready for the doctor&#8217;s office.</p>
<p>Sex shaped the picture in intriguing ways. For the Trail Making test, the moderating effect of gait speed was confined to men, and a formal three-way interaction confirmed the specificity: among males, the age-related penalty on executive performance vanished above a gait speed of 1.59 metres per second, a level achieved by 14 percent of the men. For the Stroop task, gait speed moderated the association within the female stratum, but the corresponding three-way interaction was not significant, so the researchers urge against over-reading this as a true sex difference. Notably, when grip strength and leg power were re-expressed relative to body size, the moderation effects attenuated to nonsignificance, suggesting that absolute neuromuscular capacity—not strength adjusted for mass—drove the buffering effect.</p>
<p>Several sensitivity checks strengthened the findings. Excluding participants with mild cognitive impairment left most associations intact, indicating the pattern was not simply an artifact of incipient decline, though the gait effect on task-switching did weaken—hinting that gait speed may be an especially sensitive marker of executive problems in people already showing cognitive impairment. Adjusting for sleep quality or standing height changed little. White matter hyperintensity burden, present at moderate-to-high levels in nearly 29 percent of participants, did not independently predict executive function after full covariate adjustment, though the authors attribute this partly to the coarse visual Fazekas rating and the reduced MRI subsample of 774 people, and they stress this does not overturn the well-established links between small vessel disease and cognition.</p>
<p>Beyond the physical findings, socioeconomic status emerged as the second most powerful independent predictor of executive performance after age itself, with each step up the index corresponding to roughly 11 to 15 seconds of faster task-switching across both sexes—a vivid demonstration of cognitive reserve built through education, occupational complexity and access to healthier lifestyles. The study&#8217;s cross-sectional design cannot establish causality, and unmeasured factors such as medication use, habitual activity and APOE genotype may still confound the results. Yet the work offers a reproducible analytic template for the World Wide FINGERS network of multidomain prevention trials and raises a provocative possibility: that exceptionally high neuromuscular performance represents a functional reserve capable of buffering brain aging, complementing vascular-risk control. Whether those extreme performance levels can be reached through exercise interventions begun later in life—and whether doing so translates into real cognitive protection—remains the critical question for longitudinal research now underway.</p>
<p><strong>Subject of Research:</strong> The moderating role of physical performance in the relationship between age and executive function in older adults at elevated risk of dementia</p>
<p><strong>Article Title:</strong> Physical Performance Moderates the Association Between Age and Executive Function in Older Adults at Elevated Risk of Dementia: Cross‐Sectional Analysis From the CITA GO‐ON Trial</p>
<p><strong>Article References:</strong> Reparaz‐Escudero, I., Izquierdo, M., Ecay‐Torres, M., Altuna, M., López, C., Estanga, A., García‐Sebastián, M., de Arriba, M., Ros, N., Saldias, J., Limousin, M., Martínez‐Lage, P., &amp; Sáez de Asteasu, M. L. (2026). Physical Performance Moderates the Association Between Age and Executive Function in Older Adults at Elevated Risk of Dementia: Cross‐Sectional Analysis From the CITA GO‐ON Trial. <em>Journal of Cachexia, Sarcopenia and Muscle, 17</em>(5), Article e70396. <a href="https://doi.org/10.1002/jcsm.70396" rel="noopener noreferrer">https://doi.org/10.1002/jcsm.70396</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1002/jcsm.70396" rel="noopener noreferrer">10.1002/jcsm.70396</a></p>
<p><strong>Keywords:</strong> dementia, executive function, gait speed, handgrip strength, muscle power, aging, cognitive reserve, white matter hyperintensities, CITA GO-ON trial, sarcopenia, physical performance, dementia prevention</p>
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