<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>Medicine &#8211; Science</title>
	<atom:link href="https://scienmag.com/category/science-news/medicine/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Sun, 19 Jul 2026 13:33:18 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.0.2</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>Medicine &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Sleep Quality Links Synergistically with Frailty to Increase Cardiometabolic Multimorbidity in Elderly Chinese</title>
		<link>https://scienmag.com/sleep-quality-links-synergistically-with-frailty-to-increase-cardiometabolic-multimorbidity-in-elderly-chinese/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sun, 19 Jul 2026 13:33:18 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[aging and chronic conditions]]></category>
		<category><![CDATA[biological mechanisms linking sleep and frailty]]></category>
		<category><![CDATA[cardiometabolic multimorbidity]]></category>
		<category><![CDATA[cross-sectional study in China]]></category>
		<category><![CDATA[elderly Chinese]]></category>
		<category><![CDATA[frailty as a risk factor]]></category>
		<category><![CDATA[late-life health risks]]></category>
		<category><![CDATA[multimorbidity prevention strategies]]></category>
		<category><![CDATA[observational data analysis in aging research]]></category>
		<category><![CDATA[sleep impairment and physical decline]]></category>
		<category><![CDATA[sleep quality and frailty]]></category>
		<category><![CDATA[synergistic health effects]]></category>
		<guid isPermaLink="false">https://scienmag.com/sleep-quality-links-synergistically-with-frailty-to-increase-cardiometabolic-multimorbidity-in-elderly-chinese/</guid>

					<description><![CDATA[Sleep has long been suspected to influence how aging bodies manage multiple chronic conditions, but the interplay between rest quality and physical decline has been harder to untangle. Now, a new cross-sectional study of Chinese older adults adds an evidence-packed twist: poor sleep and frailty are not just independently linked to cardiometabolic multimorbidity—they also appear [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Sleep has long been suspected to influence how aging bodies manage multiple chronic conditions, but the interplay between rest quality and physical decline has been harder to untangle. Now, a new cross-sectional study of Chinese older adults adds an evidence-packed twist: poor sleep and frailty are not just independently linked to cardiometabolic multimorbidity—they also appear to act synergistically.</p>
<p>Researchers analyzed how sleep quality and frailty relate to the co-occurrence of cardiometabolic disorders, focusing on patterns that emerge when both factors are present at once. Using statistical modeling suited for observational data, the team assessed whether the combined effect of sleep impairment and frailty exceeds what would be expected if each acted alone.</p>
<p>The findings point to independent associations in both directions. In other words, older participants with worse sleep quality were more likely to show cardiometabolic multimorbidity, and those with greater frailty also faced higher odds. This dual relationship strengthens the biological plausibility of the sleep–health link in late life.</p>
<p>But the headline result is synergy. The study suggests that the joint presence of insufficient or low-quality sleep and frailty corresponds to a disproportionately greater burden of cardiometabolic multimorbidity. Such interactions matter because they imply that tackling only one factor may leave a major portion of risk untouched.</p>
<p>From a mechanistic perspective, poor sleep can disrupt metabolic regulation, impair glucose homeostasis, and contribute to inflammatory signaling, all of which can accelerate vascular and metabolic dysfunction. Frailty, meanwhile, reflects reduced physiological reserve—often shaped by chronic inflammation, muscle loss, and stress-axis dysregulation—creating a vulnerable platform for cardiometabolic disease to cluster.</p>
<p>The cross-sectional design cannot prove causality, but it helps map where risk concentrates in real-world aging. The authors argue that clinicians and public health programs should consider sleep quality and frailty together, rather than treating them as separate problems.</p>
<p>In a Viral science news framing, the study’s message is clear: “better sleep” and “less frailty” may be more connected than previously assumed, potentially offering a more coordinated prevention strategy for seniors facing multiple cardiometabolic conditions.</p>
<p><strong>Subject of Research</strong>: Sleep quality, frailty, and cardiometabolic multimorbidity in Chinese elderly population (cross-sectional analysis)</p>
<p><strong>Article Title</strong>: Independent and synergistic associations of sleep quality and frailty with cardiometabolic multimorbidity: a cross-sectional analysis in Chinese elderly population</p>
<p><strong>Article References</strong>: Bing, S., Liu, W., Song, S. et al. Independent and synergistic associations of sleep quality and frailty with cardiometabolic multimorbidity: a cross-sectional analysis in Chinese elderly population. BMC Geriatr (2026). https://doi.org/10.1186/s12877-026-07985-8</p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: 10.1186/s12877-026-07985-8</p>
<p><strong>Keywords</strong>: Sleep quality; frailty; cardiometabolic multimorbidity; older adults; cross-sectional analysis</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173784</post-id>	</item>
		<item>
		<title>Cognitive reserve helps older adults resist frailty and recover better</title>
		<link>https://scienmag.com/cognitive-reserve-helps-older-adults-resist-frailty-and-recover-better/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sun, 19 Jul 2026 08:31:11 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[brain resilience in aging]]></category>
		<category><![CDATA[cognitive factors in health recovery]]></category>
		<category><![CDATA[cognitive reserve]]></category>
		<category><![CDATA[dynamic frailty progression]]></category>
		<category><![CDATA[frailty in older adults]]></category>
		<category><![CDATA[health outcomes in older adults]]></category>
		<category><![CDATA[impact of lifelong education on aging]]></category>
		<category><![CDATA[longitudinal studies on aging]]></category>
		<category><![CDATA[mental activity and aging]]></category>
		<category><![CDATA[neural compensation in elderly]]></category>
		<category><![CDATA[recovery from health setbacks]]></category>
		<category><![CDATA[resilience factors in geriatrics]]></category>
		<guid isPermaLink="false">https://scienmag.com/cognitive-reserve-helps-older-adults-resist-frailty-and-recover-better/</guid>

					<description><![CDATA[A new study reported in BMC Geriatrics spotlights cognitive reserve—the brain’s lifelong ability to adapt—as a potential resilience factor for how older adults experience frailty. The research frames frailty not as a fixed state, but as a dynamic process that can worsen or improve over time, with cognition playing a key role in that trajectory. [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A new study reported in <em>BMC Geriatrics</em> spotlights cognitive reserve—the brain’s lifelong ability to adapt—as a potential resilience factor for how older adults experience frailty. The research frames frailty not as a fixed state, but as a dynamic process that can worsen or improve over time, with cognition playing a key role in that trajectory.</p>
<p>Frailty affects mobility, independence, and health outcomes, and clinicians increasingly treat it as something that evolves. Yet, why some people regain strength after health setbacks while others decline remains an open question. Zhao, Liau, Ma and colleagues investigate whether individuals who build stronger cognitive reserve across their lifespan may be better protected.</p>
<p>The team examines frailty progression and recovery in later life using longitudinal data, allowing participants to move between clinical frailty states rather than being categorized once and followed as static cases. This design is crucial for capturing real-world resilience, where improvement can occur after hospitalization, illness, or functional decline.</p>
<p>Cognitive reserve is often linked to differences in brain structure and function, as well as to lifelong experiences such as education, complex work, and engagement in mentally demanding activities. In the study’s framing, higher cognitive reserve may support more efficient neural processing and compensatory mechanisms, even when aging-related changes begin to accumulate.</p>
<p>Technically, the analysis explores associations between cognitive reserve measures and the odds of frailty worsening or recovering across follow-up. By considering longitudinal changes, the authors aim to isolate whether cognitive reserve is correlated with healthier trajectories, not merely with baseline health.</p>
<p>If validated, these findings could reshape how risk is assessed in geriatrics. Instead of focusing solely on current impairments, clinicians may consider cognitive reserve as part of a broader resilience model that includes cognitive health alongside physical function.</p>
<p>The implications extend beyond individual prediction. Cognitive reserve is influenced by modifiable factors, suggesting that public health strategies promoting lifelong learning and cognitively stimulating environments might contribute to better aging outcomes.</p>
<p>With its 2026 publication in <em>BMC Geriatrics</em>, the study adds to a growing evidence base connecting cognitive aging with systemic vulnerability. The authors argue that resilience is not only physical—brain adaptability may also buffer older adults against the downward cycle of frailty.</p>
<p>Finally, the study offers a viral-science-friendly takeaway: your brain’s “practice” over decades may help determine whether frailty becomes a chronic decline or a condition with room for recovery.</p>
<p><strong>Subject of Research</strong>: Frailty progression and recovery in later life; cognitive reserve as a resilience factor.</p>
<p><strong>Article Title</strong>: Lifelong cognitive reserve as a resilience factor for frailty progression and recovery in later life.</p>
<p><strong>Article References</strong>: Zhao, M., Liau, S.J., Ma, X. et al. <em>Lifelong cognitive reserve as a resilience factor for frailty progression and recovery in later life.</em> <em>BMC Geriatrics</em> (2026). <a href="https://doi.org/10.1186/s12877-026-07919-4">https://doi.org/10.1186/s12877-026-07919-4</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: 10.1186/s12877-026-07919-4</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173780</post-id>	</item>
		<item>
		<title>Physical Activity and Health Inequality in China’s Older Adults</title>
		<link>https://scienmag.com/physical-activity-and-health-inequality-in-chinas-older-adults/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sun, 19 Jul 2026 03:29:14 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[health inequality and socioeconomic factors in aging populations]]></category>
		<category><![CDATA[health inequality widening despite overall health improvements]]></category>
		<category><![CDATA[health literacy and social support in older adult health]]></category>
		<category><![CDATA[health trajectory differences across demographic groups]]></category>
		<category><![CDATA[impact of community environment on physical activity and health outcomes]]></category>
		<category><![CDATA[influence of mobility constraints on physical activity levels]]></category>
		<category><![CDATA[measuring health disparities with epidemiological and economic metrics]]></category>
		<category><![CDATA[observational study methods in aging health research]]></category>
		<category><![CDATA[physical activity as a social determinant]]></category>
		<category><![CDATA[Physical activity disparities among older adults in China]]></category>
		<category><![CDATA[role of safe spaces and access to recreational facilities in health equity]]></category>
		<guid isPermaLink="false">https://scienmag.com/physical-activity-and-health-inequality-in-chinas-older-adults/</guid>

					<description><![CDATA[Older adults in China are not experiencing health improvements evenly, and a new study links part of that gap to how physical activity is distributed across communities. Researchers report that physical activity is associated with better health outcomes, but the benefits are not uniform—creating measurable health inequality rather than a single “one-size-fits-all” effect. The findings [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Older adults in China are not experiencing health improvements evenly, and a new study links part of that gap to how physical activity is distributed across communities. Researchers report that physical activity is associated with better health outcomes, but the benefits are not uniform—creating measurable health inequality rather than a single “one-size-fits-all” effect.</p>
<p>The findings focus on older adults and examine whether differences in activity levels translate into unequal health trajectories across demographic and socioeconomic conditions. Instead of treating “activity” as a simple yes-or-no behavior, the analysis considers how gradients of movement relate to disparities in health.</p>
<p>To quantify inequality, the study employs population-level metrics commonly used in health economics and epidemiology. These approaches can separate overall health variation into components that reflect group differences, allowing investigators to estimate how much of the inequality is potentially attributable to physical activity patterns.</p>
<p>The work also emphasizes that health inequality can widen even when average health improves. In this scenario, some groups may adopt or maintain activity more easily—because of access to safe spaces, health literacy, social support, or fewer mobility constraints—while other groups fall behind.</p>
<p>Technically, the authors analyze observational data and control for key confounders that might otherwise explain both activity and health status. This helps reduce the chance that the observed association is merely driven by factors such as baseline chronic disease burden, education, or geography.</p>
<p>Importantly, the results suggest that physical activity does not just correlate with health—it may act as a modifiable lever shaping how evenly health benefits are shared. If interventions can shift activity patterns among disadvantaged groups, the study implies that inequality could shrink, not just outcomes improve.</p>
<p>Because the paper is based on real-world evidence from China, it also highlights cultural and structural realities that shape behavior. Urban design, community programming, and the availability of age-friendly exercise options may influence who can be active consistently.</p>
<p>From a “viral science news” perspective, the headline takeaway is straightforward: getting older doesn’t have to mean accepting unequal health. The study frames physical activity as both a health tool and an inequality amplifier—meaning targeting participation gaps could deliver outsized public health impact.</p>
<p><strong>Subject of Research</strong>: Health inequality among older adults; physical activity effects<br />
<strong>Article Title</strong>: The impact of physical activity on health inequality among older adults: evidence from China<br />
<strong>Article References</strong>: Dang, X., Pan, J., Xing, X. et al. The impact of physical activity on health inequality among older adults: evidence from China. BMC Geriatr (2026). https://doi.org/10.1186/s12877-026-08008-2<br />
<strong>Image Credits</strong>: AI Generated<br />
<strong>DOI</strong>: https://doi.org/10.1186/s12877-026-08008-2<br />
<strong>Keywords</strong>: physical activity; health inequality; older adults; China; public health; epidemiology</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173778</post-id>	</item>
		<item>
		<title>Factors Influencing Elderly Preference for Dental Services</title>
		<link>https://scienmag.com/factors-influencing-elderly-preference-for-dental-services/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sat, 18 Jul 2026 22:15:12 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[affordability and insurance effects on senior dental care decisions]]></category>
		<category><![CDATA[barriers to routine dental checkups for seniors]]></category>
		<category><![CDATA[communication and provider-patient relationship in geriatric dentistry]]></category>
		<category><![CDATA[early dental care seeking behavior in elderly populations]]></category>
		<category><![CDATA[Elderly dental care preferences]]></category>
		<category><![CDATA[factors influencing senior dental service utilization]]></category>
		<category><![CDATA[impact of transportation on elderly dental appointment attendance]]></category>
		<category><![CDATA[influence of perceived service quality on elderly dental care]]></category>
		<category><![CDATA[logistical barriers to dental care for seniors]]></category>
		<category><![CDATA[psychological drivers of dental service choices among older adults]]></category>
		<category><![CDATA[trust and comfort in dental visits for older adults]]></category>
		<guid isPermaLink="false">https://scienmag.com/factors-influencing-elderly-preference-for-dental-services/</guid>

					<description><![CDATA[A new study highlights what shapes how older adults choose dental services, offering insights that could help clinicians and policymakers make care more reachable for aging populations. Published in BMC Geriatrics, the research examines preferences from the perspective of elderly people, focusing on the practical and psychological drivers behind where they seek treatment. Researchers report [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A new study highlights what shapes how older adults choose dental services, offering insights that could help clinicians and policymakers make care more reachable for aging populations. Published in <em>BMC Geriatrics</em>, the research examines preferences from the perspective of elderly people, focusing on the practical and psychological drivers behind where they seek treatment.</p>
<p>Researchers report that dental service choice is not determined by clinical need alone. Instead, older participants weigh multiple factors, including perceived quality, trust in providers, and the comfort they expect during visits. Such preferences can influence whether seniors present early for care or delay until symptoms become more severe.</p>
<p>The analysis also underscores the role of access-related conditions. Transportation difficulties, scheduling constraints, and the overall convenience of clinics can strongly affect whether elderly adults follow through on appointments. In practice, even when dental services are available, logistical friction can reduce uptake.</p>
<p>Cost perception emerges as another key theme. The study points to the way affordability, expected out-of-pocket expenses, and insurance-related clarity can shape willingness to seek preventive services. When costs feel uncertain, older adults may prioritize only urgent needs rather than routine checkups.</p>
<p>Beyond logistics and economics, communication quality matters. Participants appear to value providers who explain procedures clearly, demonstrate patience, and treat them with respect. For many seniors, feeling heard can improve satisfaction and reinforce continued engagement with dental care.</p>
<p>The findings also suggest that health-related experiences influence preference. Prior dental outcomes, fear of pain, and past interactions with the healthcare system can steer individuals toward specific service settings. This is particularly relevant for older adults who have accumulated years of unmet needs or negative impressions.</p>
<p>Importantly, the study frames these determinants as modifiable targets. By improving appointment accessibility, strengthening patient-provider communication, and ensuring transparent pricing, dental programs could better align services with senior expectations.</p>
<p>As populations age worldwide, these behavioral insights may help reduce barriers to oral healthcare. The research calls for strategies that address both the measurable elements of service delivery and the lived concerns of older adults deciding where to go for treatment.</p>
<p><strong>Subject of Research</strong>: Factors influencing elderly preferences for dental services</p>
<p><strong>Article Title</strong>: Factors related to the preference for dental services from the perspective of the elderly</p>
<p><strong>Article References</strong>: Shirzadi, Z., Moeini, M., Shojaei Barjoei, N. et al. <em>BMC Geriatrics</em> (2026). <a href="https://doi.org/10.1186/s12877-026-07982-x">https://doi.org/10.1186/s12877-026-07982-x</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173772</post-id>	</item>
		<item>
		<title>Frequency-Dependent Deep Brain Stimulation in Motor Thalamus Alters Speech and Swallowing</title>
		<link>https://scienmag.com/frequency-dependent-deep-brain-stimulation-in-motor-thalamus-alters-speech-and-swallowing/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sat, 18 Jul 2026 17:50:09 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[circuit-level neural dynamics]]></category>
		<category><![CDATA[deep brain stimulation]]></category>
		<category><![CDATA[frequency-dependent neural modulation]]></category>
		<category><![CDATA[motor thalamus stimulation]]></category>
		<category><![CDATA[movement disorder treatment]]></category>
		<category><![CDATA[neural circuit engagement]]></category>
		<category><![CDATA[neural feedback mechanisms]]></category>
		<category><![CDATA[neural pathways in oral motor functions]]></category>
		<category><![CDATA[neural processing of speech and swallowing]]></category>
		<category><![CDATA[optimized DBS parameters]]></category>
		<category><![CDATA[real-world behavior modulation]]></category>
		<category><![CDATA[speech and swallowing control]]></category>
		<guid isPermaLink="false">https://scienmag.com/frequency-dependent-deep-brain-stimulation-in-motor-thalamus-alters-speech-and-swallowing/</guid>

					<description><![CDATA[A team of neuroscientists has reported that deep brain stimulation (DBS) targeted to the motor thalamus can reshape how the brain controls both speech and swallowing—and crucially, that the outcome depends on stimulation frequency. The findings, from experiments reported in Nature Communications (2026), suggest that “tuning” DBS parameters may offer more refined control over complex, [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A team of neuroscientists has reported that deep brain stimulation (DBS) targeted to the motor thalamus can reshape how the brain controls both speech and swallowing—and crucially, that the outcome depends on stimulation frequency. The findings, from experiments reported in <em>Nature Communications</em> (2026), suggest that “tuning” DBS parameters may offer more refined control over complex, real-world behaviors than previously possible.</p>
<p>The study centers on motor-thalamus DBS, a strategy explored for movement disorders and related symptoms. Instead of treating stimulation as a single fixed setting, the researchers tested multiple frequencies and monitored changes in speech-related signals and swallowing performance. This frequency sensitivity points to circuit-level dynamics where different stimulation rates engage distinct neural processing modes.</p>
<p>In practical terms, the results imply that higher or lower frequencies may preferentially drive or suppress specific pathways that contribute to oral motor timing. Speech production relies on precisely coordinated patterns of muscle activation, airflow, and sensory feedback; swallowing requires rapid, sequence-based control to protect the airway. Alterations in these timing networks could explain why DBS can influence both functions simultaneously.</p>
<p>The authors describe the effects as frequency-dependent, meaning that the same DBS target produces divergent outcomes when the pulse rate changes. Such divergence is consistent with the idea that stimulation can shift synaptic interactions, firing synchrony, and network oscillations within the thalamocortical loop. When the stimulation rhythm matches intrinsic circuit oscillations, the brain may stabilize certain motor programs; at other rates, it may destabilize them.</p>
<p>Importantly, the work frames DBS not only as a way to modulate symptoms, but as a potential tool for “behavioral steering.” If translated to clinical settings, clinicians could adjust DBS frequency to reduce speech side effects while maintaining or improving swallowing safety, rather than relying on a one-size-fits-all configuration.</p>
<p>The study also highlights an often-overlooked challenge: therapies optimized for movement may inadvertently affect speech and swallowing, both of which share overlapping motor control resources. Frequency tuning could become a lever for mitigating such trade-offs, improving quality of life for patients who already depend on DBS.</p>
<p>While the research is mechanistic, its implications are immediately viral-science-worthy: the possibility that a single hardware intervention can be dynamically optimized for nuanced functions. The next step will be confirming how these frequency effects scale across different individuals and disease states.</p>
<p>As DBS devices become more programmable, the field is moving toward personalized stimulation “dial settings.” This report adds to that momentum by providing evidence that the motor thalamus does not respond uniformly—frequency matters, and the brain appears to treat different pulse rates as different control regimes.</p>
<p><strong>Subject of Research</strong>: Deep brain stimulation (DBS) targeted to the motor thalamus and its frequency-dependent effects on speech and swallowing.</p>
<p><strong>Article Title</strong>: Frequency-dependent effects of motor thalamus deep brain stimulation on speech and swallowing.</p>
<p><strong>Article References</strong>: Tang, L.W., Grigsby, E.M., Damiani, A. et al. Frequency-dependent effects of motor thalamus deep brain stimulation on speech and swallowing. <em>Nat Commun</em> (2026). <a href="https://doi.org/10.1038/s41467-026-75588-3">https://doi.org/10.1038/s41467-026-75588-3</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: 10.1038/s41467-026-75588-3</p>
<p><strong>Keywords</strong>:</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173768</post-id>	</item>
		<item>
		<title>Factors Affecting Fall Prevention for Older Adults With Dementia, Systematic Review</title>
		<link>https://scienmag.com/factors-affecting-fall-prevention-for-older-adults-with-dementia-systematic-review/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sat, 18 Jul 2026 17:07:19 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[barriers to implementing fall prevention programs]]></category>
		<category><![CDATA[caregiver engagement in dementia fall prevention]]></category>
		<category><![CDATA[clinical practice guidelines for fall prevention]]></category>
		<category><![CDATA[dementia care strategies]]></category>
		<category><![CDATA[environmental modifications for dementia patients]]></category>
		<category><![CDATA[Fall prevention]]></category>
		<category><![CDATA[healthcare workflow integration for fall prevention]]></category>
		<category><![CDATA[implementation determinants in elderly fall prevention]]></category>
		<category><![CDATA[multidisciplinary collaboration in fall prevention]]></category>
		<category><![CDATA[organizational factors in fall prevention]]></category>
		<category><![CDATA[resource availability in dementia care]]></category>
		<category><![CDATA[staff training and education for fall prevention]]></category>
		<guid isPermaLink="false">https://scienmag.com/factors-affecting-fall-prevention-for-older-adults-with-dementia-systematic-review/</guid>

					<description><![CDATA[A new systematic review published in BMC Geriatrics maps the evidence behind fall-prevention strategies for older adults living with dementia or other cognitive impairments. Covering studies released from 2021 through March 2026, the review by Pu, Liu, Li, and colleagues synthesizes what drives whether interventions are actually implemented in real-world care settings. Using a structured [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A new systematic review published in <em>BMC Geriatrics</em> maps the evidence behind fall-prevention strategies for older adults living with dementia or other cognitive impairments. Covering studies released from 2021 through March 2026, the review by Pu, Liu, Li, and colleagues synthesizes what drives whether interventions are actually implemented in real-world care settings.</p>
<p>Using a structured review approach, the researchers examined implementation “determinants”—the practical and contextual factors that influence adoption, uptake, and sustained delivery. Because people with dementia may require tailored supervision, medication management, and environment modifications, the team focused on evidence relevant to clinical and community care workflows, not only efficacy results.</p>
<p>The analysis highlights that successful implementation depends on more than staff training alone. Organizational capacity, leadership commitment, workflow integration, and access to resources consistently shape whether fall-prevention programs move from protocol to routine practice. In environments with constrained staffing or competing priorities, even well-designed tools struggle to be maintained.</p>
<p>The review also points to the importance of caregiver and multidisciplinary engagement. Falls prevention for cognitively impaired individuals often spans nursing, rehabilitation, occupational therapy, and family caregiving. Where communication is strong and responsibilities are clearly defined, interventions are more likely to be delivered consistently and monitored over time.</p>
<p>Another technical theme is the role of tailoring and fidelity. Interventions that account for behavioral symptoms, mobility limitations, and safety risks tend to fit the daily realities of dementia care. The review underscores that fidelity—delivering the “active ingredients” of an intervention—can be challenged by frequent changes in health status and care transitions.</p>
<p>Equally important, the findings suggest that measurement affects implementation. When facilities track relevant outcomes (such as incident reports, near-misses, and adherence to prevention components), teams can adjust quickly and justify continued investment.</p>
<p>In “viral” science terms, the message is simple: fall-prevention success is a systems problem. The determinants identified in this evidence synthesis offer a roadmap for turning research-backed practices into scalable care.</p>
<p>For clinicians and health leaders, the study frames implementation planning as an essential step—one that should start early, include accountability mechanisms, and anticipate barriers unique to dementia care.</p>
<p>Taken together, the review offers a timely evidence base for improving implementation strategies across care settings, aiming to reduce preventable injuries in a high-risk population as new data continue to emerge through 2026.</p>
<p><strong>Subject of Research</strong>: Fall prevention implementation among older adults with dementia or cognitive impairment.</p>
<p><strong>Article Title</strong>: Determinants of fall prevention implementation among older adults with dementia or cognitive impairment: a systematic review of recent evidence from 2021 to March 2026.</p>
<p><strong>Article References</strong>: Pu, F., Liu, H., Li, M. <i>et al.</i> Determinants of fall prevention implementation among older adults with dementia or cognitive impairment: a systematic review of recent evidence from 2021 to March 2026. <i>BMC Geriatr</i> (2026). <a href="https://doi.org/10.1186/s12877-026-08004-6">https://doi.org/10.1186/s12877-026-08004-6</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173764</post-id>	</item>
		<item>
		<title>Gene therapy reverses complete congenital night blindness in mice, improving vision</title>
		<link>https://scienmag.com/gene-therapy-reverses-complete-congenital-night-blindness-in-mice-improving-vision/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sat, 18 Jul 2026 16:56:12 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[advances in inherited retinal dystrophies]]></category>
		<category><![CDATA[electrophysiological assessment of retinal responses]]></category>
		<category><![CDATA[Gene therapy for congenital night blindness]]></category>
		<category><![CDATA[improving visual acuity through gene therapy]]></category>
		<category><![CDATA[inherited retinal disease treatment]]></category>
		<category><![CDATA[molecular rescue of photoreceptor signaling]]></category>
		<category><![CDATA[potential human treatments for stationary night blindness]]></category>
		<category><![CDATA[preclinical gene therapy studies]]></category>
		<category><![CDATA[restoring visual function in mice]]></category>
		<category><![CDATA[retinal circuit repair via gene augmentation]]></category>
		<category><![CDATA[retinal gene augmentation therapy]]></category>
		<category><![CDATA[viral delivery for retinal disorders]]></category>
		<guid isPermaLink="false">https://scienmag.com/gene-therapy-reverses-complete-congenital-night-blindness-in-mice-improving-vision/</guid>

					<description><![CDATA[A new preclinical study suggests that gene augmentation therapy may restore sight in a severe form of inherited night blindness. The work, reported in Gene Therapy, targets complete congenital stationary night blindness (cCSNB), a disorder in which the retinal circuitry fails to generate reliable visual responses from birth. In mouse models, treatment improved both retinal [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A new preclinical study suggests that gene augmentation therapy may restore sight in a severe form of inherited night blindness. The work, reported in <em>Gene Therapy</em>, targets complete congenital stationary night blindness (cCSNB), a disorder in which the retinal circuitry fails to generate reliable visual responses from birth. In mouse models, treatment improved both retinal function and visual performance, offering a promising blueprint for future human therapies.</p>
<p>The researchers focused on augmenting gene activity to compensate for the underlying molecular defect driving defective photoreceptor signaling. Rather than attempting to edit the genome directly, the approach delivers functional genetic instructions to retinal cells, aiming to re-establish healthier visual transduction. This strategy is designed for conditions where disease-causing pathways can be partially rescued by restoring protein expression levels.</p>
<p>Using viral delivery, the team administered a therapeutic vector into the eyes of affected mice. After treatment, they monitored retinal function with electrophysiological assays that quantify how well retinal neurons respond to light. The results showed a measurable shift toward more normal response patterns, indicating that the treated retinas regained function rather than merely delaying degeneration.</p>
<p>Beyond electrophysiology, the study assessed visual acuity using behavioral and/or functional vision readouts. Improved performance suggested that molecular and cellular gains translated into practical gains in how the animals detect and resolve visual signals under experimental conditions. Importantly, the benefits were consistent with a rescue of retinal processing rather than isolated changes at the level of gene expression.</p>
<p>The findings also emphasize the importance of timing and targeting. Successful retinal rescue often depends on delivering the vector to the relevant cell types and achieving sufficient expression early enough to influence network behavior. While this work remains in mice, it provides evidence that the therapeutic window and delivery route can be optimized for cCSNB.</p>
<p>A key technical takeaway is that gene augmentation can potentially correct “wiring” problems in retinal signaling by restoring the biochemical inputs that govern photoreceptor activity. When that input is strengthened, downstream retinal circuits can produce responses closer to those seen in healthier animals, improving both sensitivity and signal fidelity.</p>
<p>The authors frame their results as encouraging proof-of-concept for treating complete cCSNB, where current options are limited. Future steps will likely include deeper characterization of long-term safety, expression stability, and dose-response relationships, as well as exploration of how closely mouse retinal physiology maps to human disease.</p>
<p>If these translational hurdles are met, viral gene augmentation could become a targeted therapy for inherited retinal disorders that primarily disrupt retinal function from the outset. For now, the study delivers a rare and hopeful message: in a model of complete congenital blindness, the retina can still be functionally recovered.</p>
<p><strong>Subject of Research</strong>: Complete congenital stationary night blindness (cCSNB)<br />
<strong>Article Title</strong>: Gene augmentation therapy successfully treats mice with complete congenital stationary night blindness (cCSNB), improving retinal function and visual acuity.<br />
<strong>Article References</strong>: Hasan, N., Attaway, C.A., Di Paolo, M. et al. Gene Ther (2026). <a href="https://doi.org/10.1038/s41434-026-00633-1">https://doi.org/10.1038/s41434-026-00633-1</a><br />
<strong>Image Credits</strong>: AI Generated<br />
<strong>DOI</strong>: <a href="https://doi.org/10.1038/s41434-026-00633-1">https://doi.org/10.1038/s41434-026-00633-1</a><br />
<strong>Keywords</strong>: Gene augmentation therapy, congenital stationary night blindness, viral vector, retinal function, visual acuity</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173762</post-id>	</item>
		<item>
		<title>Toddler Diet Quality Linked to Childhood Growth Outcomes</title>
		<link>https://scienmag.com/toddler-diet-quality-linked-to-childhood-growth-outcomes/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sat, 18 Jul 2026 16:03:12 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[childhood dietary assessment]]></category>
		<category><![CDATA[childhood growth outcomes]]></category>
		<category><![CDATA[developmental growth trajectories]]></category>
		<category><![CDATA[diet and physical growth]]></category>
		<category><![CDATA[dietary patterns and health]]></category>
		<category><![CDATA[early childhood nutrition]]></category>
		<category><![CDATA[early dietary influences on later health]]></category>
		<category><![CDATA[impact of early diet on childhood obesity]]></category>
		<category><![CDATA[long-term health development]]></category>
		<category><![CDATA[nutrient adequacy in toddlers]]></category>
		<category><![CDATA[regression analysis in nutrition studies]]></category>
		<category><![CDATA[Toddler diet quality]]></category>
		<guid isPermaLink="false">https://scienmag.com/toddler-diet-quality-linked-to-childhood-growth-outcomes/</guid>

					<description><![CDATA[Early childhood is a critical window for building the foundation of long-term health, yet how day-to-day eating patterns shape later growth has been hard to pin down. Now, a new analysis suggests that what toddlers eat may leave a measurable signature on their physical development years later. Researchers investigated whether “diet quality” in toddlerhood—an overall [&#8230;]]]></description>
										<content:encoded><![CDATA[<p><img decoding="async" src="https://media.springernature.com/w290h158/springer-static/image/art%3A10.1038/s41366-026-02169-1/MediaObjects/41366_2026_2169_Fig1_HTML.png" /><br />
Early childhood is a critical window for building the foundation of long-term health, yet how day-to-day eating patterns shape later growth has been hard to pin down. Now, a new analysis suggests that what toddlers eat may leave a measurable signature on their physical development years later.</p>
<p>Researchers investigated whether “diet quality” in toddlerhood—an overall measure reflecting the mix of foods and nutrient-related adequacy—predicts growth in later childhood. Previous adult studies have linked higher diet quality with lower obesity risk, but evidence connecting early diet to subsequent growth trajectories has remained limited.</p>
<p>The study followed children across developmental stages, focusing on diet during the toddler years and tracking growth indicators as the participants aged. By using statistical models designed to account for confounding factors, the team evaluated whether variation in diet quality corresponded to differences in later measures linked to healthy growth.</p>
<p>Technically, the approach treated toddler diet quality as an exposure and later growth as the outcome, then assessed associations through regression-based frameworks. This allows researchers to compare children with different dietary patterns while adjusting for other influences that might otherwise explain changes in growth.</p>
<p>Crucially, the findings point to diet quality—not just calorie intake—as a potential driver of growth-related outcomes. In other words, healthier patterns during the toddler period may support more favorable growth dynamics, rather than simply buffering weight gain.</p>
<p>These results add momentum to the idea that childhood nutrition should be viewed as a long-term system: early feeding practices may influence metabolism, nutrient availability, and developmental signaling pathways that govern how bodies grow.</p>
<p>While observational by nature, the study strengthens the case for early nutrition quality as a modifiable factor. If confirmed in broader cohorts and with longer follow-up, the work could inform guidance for parents and clinicians aiming to optimize toddler diets.</p>
<p>For caregivers, the message is simple but powerful: improving diet quality early may be more than a short-term health choice—it could be part of a blueprint for healthier growth in the years that follow.</p>
<p>Published this month, the study underscores a viral-sounding but biologically plausible takeaway: small dietary differences in toddlerhood may echo through later childhood growth.</p>
<p><strong>Subject of Research</strong>: Childhood growth and diet quality in toddlers<br />
<strong>Article Title</strong>: Toddler diet quality: a factor associated with childhood growth?<br />
<strong>Article References</strong>: Zhu, X., Putnick, D.L., Clayton, P.K. <i>et al.</i> Toddler diet quality: a factor associated with childhood growth?. <i>Int J Obes</i> (2026). https://doi.org/10.1038/s41366-026-02169-1<br />
<strong>Image Credits</strong>: AI Generated<br />
<strong>DOI</strong>: https://doi.org/10.1038/s41366-026-02169-1<br />
<strong>Keywords</strong>:</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173758</post-id>	</item>
		<item>
		<title>Journal Cyborg and Bionic Systems Impact Factor Hits 20.9, Ranks Top in Robotics</title>
		<link>https://scienmag.com/journal-cyborg-and-bionic-systems-impact-factor-hits-20-9-ranks-top-in-robotics/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sat, 18 Jul 2026 15:15:11 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[biohybrid systems development]]></category>
		<category><![CDATA[bioinspired engineering]]></category>
		<category><![CDATA[biomedical applications of robotics]]></category>
		<category><![CDATA[hybrid robotic system design]]></category>
		<category><![CDATA[impact factor in biomedical engineering]]></category>
		<category><![CDATA[integration of biological principles in robotics]]></category>
		<category><![CDATA[interdisciplinary robotics and biomedical research]]></category>
		<category><![CDATA[neural interfaces in robotics]]></category>
		<category><![CDATA[neuroengineering advancements]]></category>
		<category><![CDATA[open access robotics journals]]></category>
		<category><![CDATA[soft robotics research]]></category>
		<category><![CDATA[translational neuroengineering platforms]]></category>
		<guid isPermaLink="false">https://scienmag.com/journal-cyborg-and-bionic-systems-impact-factor-hits-20-9-ranks-top-in-robotics/</guid>

					<description><![CDATA[Journal Citation Reports 2025 reveals that the Open Access journal Cyborg and Bionic Systems has achieved an Impact Factor of 20.9, placing it 2nd in “Robotics” and 4th in “Engineering, Biomedical.” The ranking underscores how rapidly hybrid design approaches—combining biological principles with engineered control and sensing—are gaining traction across research communities. The journal is published [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>Journal Citation Reports 2025 reveals that the Open Access journal <em>Cyborg and Bionic Systems</em> has achieved an Impact Factor of 20.9, placing it 2nd in “Robotics” and 4th in “Engineering, Biomedical.” The ranking underscores how rapidly hybrid design approaches—combining biological principles with engineered control and sensing—are gaining traction across research communities.</p>
<p>The journal is published in affiliation with the Beijing Institute of Technology (BIT) and distributed by the American Association for the Advancement of Science (AAAS). By positioning open dissemination at its core, the journal aims to accelerate knowledge exchange among teams working on soft robotics, neuroengineering, and bioinspired systems.</p>
<p>A central theme is the co-design of “hybrid systems codesign” that connect living tissues, neural interfaces, and mechanical components. Rather than treating biology as inspiration alone, the journal emphasizes integration strategies where biological mechanisms inform actuation, communication, and feedback loops in technical platforms.</p>
<p>Its editorial scope spans robotics and biomedical engineering, with additional coverage of neural engineering and closely related fields. This breadth supports work that ranges from experimental prototypes to translationally oriented platforms meant to interact safely and effectively with human physiology.</p>
<p>The journal is indexed across major databases, including SCIE, EI, Scopus, PubMed, CSCD, DOAJ, and Inspec. Broad indexing helps expand discoverability for interdisciplinary contributions that may otherwise remain siloed between engineering, medicine, and computational neuroscience.</p>
<p>In the current featured set of studies, researchers demonstrate multimodal locomotion in amphibious platforms, teleoperated soft robotic systems for endoscopic surgery, and tissue engineering pathways that bridge regeneration and biorobotics. Together, these papers illustrate a trend toward systems that can adapt, sense, and operate across complex biological environments.</p>
<p>Additional highlights include earthworm-inspired soft robots enhanced by winding transmission, advances in flexible bioelectronics driven by soft and bioactive materials, and piezoelectric vibration with in situ force sensing for low-trauma tissue penetration. Such work suggests a continuing shift toward safer interfaces and more informative feedback during interaction.</p>
<p>Neural and sensory interfaces also appear in the lineup, with research on brain-to-sentence decoding, augmented EEG-transformer methods for steady-state visually evoked potential-based brain–computer interfaces, and wearable electrotactile systems using stimulation–inhibition electrode units.</p>
<p>Finally, the collection extends beyond terrestrial systems with space-physiology-informed wearable guidance, while imaging and micromotor-enabled approaches push toward smarter sensing pipelines. The combined agenda signals a viral momentum: biohybrid innovation is moving from concept to measurable, indexable, and high-impact experimentation.</p>
<p><strong>Subject of Research</strong>: Hybrid bioinspired systems, robotics, biomedical engineering, neural engineering, and flexible bioelectronics<br />
<strong>Article Title</strong>: Journal Citation Reports 2025: <em>Cyborg and Bionic Systems</em> Impact Factor 20.9 and top rankings<br />
<strong>News Publication Date</strong>: Not provided<br />
<strong>Web References</strong>: <a href="https://webofscience-authorconnect.com/c/1946455/d503bc4ca744f4e3/6">https://webofscience-authorconnect.com/c/1946455/d503bc4ca744f4e3/6</a>, <a href="https://webofscience-authorconnect.com/c/1946455/d503bc4ca744f4e3/7">https://webofscience-authorconnect.com/c/1946455/d503bc4ca744f4e3/7</a>, <a href="https://webofscience-authorconnect.com/c/1946455/d503bc4ca744f4e3/8">https://webofscience-authorconnect.com/c/1946455/d503bc4ca744f4e3/8</a><br />
<strong>References</strong>: Not provided<br />
<strong>Image Credits</strong>: Beijing Institute of Technology, Journal of Cyborg and Bionic Systems<br />
<strong>Keywords</strong>: Impact Factor, robotics, biomedical engineering, bioinspired robotics, neural engineering, open access, hybrid systems codesign, bioelectronics</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173752</post-id>	</item>
		<item>
		<title>Factors Behind Life Satisfaction in China’s Older Adults, Study of 1,578</title>
		<link>https://scienmag.com/factors-behind-life-satisfaction-in-chinas-older-adults-study-of-1578/</link>
		
		<dc:creator><![CDATA[SCIENMAG]]></dc:creator>
		<pubDate>Sat, 18 Jul 2026 11:57:21 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Aging]]></category>
		<category><![CDATA[aging and resource access]]></category>
		<category><![CDATA[behavioral indicators of well-being]]></category>
		<category><![CDATA[consumption patterns and happiness]]></category>
		<category><![CDATA[demographic factors and well-being]]></category>
		<category><![CDATA[economic security in aging]]></category>
		<category><![CDATA[factors influencing elderly life satisfaction]]></category>
		<category><![CDATA[household circumstances and happiness]]></category>
		<category><![CDATA[life satisfaction]]></category>
		<category><![CDATA[older adults in China]]></category>
		<category><![CDATA[social context and life satisfaction]]></category>
		<category><![CDATA[subjective well-being in later life]]></category>
		<guid isPermaLink="false">https://scienmag.com/factors-behind-life-satisfaction-in-chinas-older-adults-study-of-1578/</guid>

					<description><![CDATA[A new analysis published in BMC Geriatrics is drawing attention to what really drives well-being in later life. Researchers, writing from Hubei, China, examined how older adults’ life satisfaction shifts in relation to both demographic profiles and everyday consumption patterns. The study focuses on a sample of 1,578 people, offering a sizable snapshot of aging [&#8230;]]]></description>
										<content:encoded><![CDATA[<p>A new analysis published in <em>BMC Geriatrics</em> is drawing attention to what really drives well-being in later life. Researchers, writing from Hubei, China, examined how older adults’ life satisfaction shifts in relation to both demographic profiles and everyday consumption patterns. The study focuses on a sample of 1,578 people, offering a sizable snapshot of aging experiences in one province.</p>
<p>Unlike broad surveys that treat “happiness” as a standalone outcome, the team approached life satisfaction as something shaped by resources, needs, and social context. They incorporated behavioral signals from consumption—what older adults spend on, how spending may reflect economic security, and how consumption relates to perceived stability and access to goods and services.</p>
<p>Technically, the work links satisfaction to measurable predictors rather than relying on qualitative impressions. The authors emphasize that demographic characteristics may interact with consumption behavior, meaning that the same spending profile could correspond to different satisfaction levels depending on age structure, household circumstances, or other personal factors.</p>
<p>The findings highlight that satisfaction is not a one-dimensional measure. Instead, it appears tied to a network of influences that includes affordability, consumption capability, and the broader circumstances that determine whether everyday spending supports comfort and autonomy.</p>
<p>For older adults, consumption can act as a proxy for both material conditions and social participation opportunities. When consumption aligns with needs—such as healthcare, mobility supports, or family-related spending—it may reinforce a sense of control and dignity, which are known mechanisms behind subjective well-being.</p>
<p>The study also suggests policy implications: improving life satisfaction may require more than boosting income in isolation. Understanding the specific pathways through which consumption-related factors affect satisfaction can guide targeted interventions for vulnerable seniors.</p>
<p>Crucially, the research grounds its conclusions in an empirical framework, using the province-level dataset to estimate relationships between variables. By doing so, it strengthens the evidence that behavioral and structural determinants should be considered together when designing aging support strategies.</p>
<p>As viral science news, the takeaway is simple yet urgent: in aging populations, how people live day to day—especially what they can afford and access—can shape how satisfied they feel about their lives.</p>
<p><strong>Subject of Research</strong>: Older adults’ life satisfaction and its related factors, with emphasis on consumption behavior and demographics.</p>
<p><strong>Article Title</strong>: Life satisfaction and its related factors among older adults: an analysis based on consumption behavior and demographic characteristics of 1,578 older adults in Hubei, China.</p>
<p><strong>Article References</strong>: Ren, Y., Yang, J., Peng, J. et al. Life satisfaction and its related factors among older adults: an analysis based on consumption behavior and demographic characteristics of 1,578 older adults in Hubei, China. <em>BMC Geriatr</em> (2026). <a href="https://doi.org/10.1186/s12877-026-07988-5">https://doi.org/10.1186/s12877-026-07988-5</a></p>
<p><strong>Image Credits</strong>: AI Generated</p>
<p><strong>DOI</strong>: 10.1186/s12877-026-07988-5</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">173748</post-id>	</item>
	</channel>
</rss>
