Epidemiology of board-related incidents in the Portuguese National Maritime Authority's Jurisdiction (2020-2023): a cross-sectional study.

Speechreading and Aging

Objectives Cardiovascular disease is a leading cause of death in individuals with schizophrenia, emphasizing the need to promote cardiovascular health in this population. This study examined factors associated with cardiovascular health behaviors in younger ( < 50 years) and older (≥50 years) adults with schizophrenia to identify age-related differences. Methods A total of 237 community-dwelling or group home residents with schizophrenia participated in this cross-sectional descriptive study using self-administered questionnaires. Results There was no significant difference in the number of physical illness between the two age groups; however, younger adults took more medications for physical condition (p = .020). Cardiovascular health behavior was significantly higher in the older adults (p = .001). In younger adults, advancing age (β = 0.18, p = .28) and positive dietary attitude (β = 0.36, p < .001) were associated with greater engagement in health behaviors (Adj R2 = .20, F = 6.53, p < .001). Among older adults, marital status (β = 0.25, p = .017) and physical illness (β = 0.30, p = .002) were significant factors (Adj. R2 = .14, F = 5.27, p = .001). Conclusions The study emphasizes the significance of considering age and promoting healthy lifestyles among people with schizophrenia for their cardiovascular health. Clinical Implications Early behavioral intervention, targeted health education for younger individuals with schizophrenia, and routine cardiovascular monitoring by healthcare providers are critical.

ABSTRACTMeaningful intergenerational interactions between older and younger adults are rare outside of family relationships. Interventions to increase positive intergenerational interactions are growing, but finding appropriate measures of attitudes toward both younger and older age groups is difficult. Many measures assessing attitudes toward older adults can remind participants of negative stereotypes of aging and are rarely used to assess attitudes toward younger adults. We adapted Pittinsky, Rosenthal, and Montoya’s allophilia measure to assess attitudes toward younger (18–25 years old) and older (over age 65) adults. In the first study, 94 traditional college age and 52 older adults rated older and younger adults. The allophilia measure distinguished between younger and older adults’ attitudes toward each age group. In the second study, we compared the age-related allophilia measures with seven traditional measures of attitudes toward older adults. Forty-seven traditional college age students completed measures. As predicted, correlations between allophilia toward older adults and the traditional semantic differential measures were weak (i.e., r = |0.15|or less), whereas correlations with general attitudes toward older adults were more moderate (r = 0.59 or less). Correlations between allophilia toward younger adults and the traditional measures were primarily non-significant as predicted. The allophilia measure differentiated between the five domains of positive attitudes toward younger and older adults and was not highly correlated with measures of more negative attitudes toward older adults. Results suggest that the allophilia measure can fill a need for a measure of positive attitudes toward older and younger adults.

Functional Assessment in Younger and Older Adults with Sickle Cell Disease

BackgroundCardiovascular diseases (CVDs) are a major cause of morbidity and mortality worldwide, with data showing an increasing trend. Previously uncommon, CVDs of lifestyle are now increasing in many Sub-Sahara African (SSA) countries including Tanzania. The study aimed at determining the spectrum and distribution of CVDs among young (< 45 years) and older (≥ 45 years) adults referred for echocardiography at Jakaya Kikwete Cardiac Institute (JKCI).MethodsHospital-based cross sectional study was conducted among adult patients referred for echocardiography at JKCI between July and December 2021. Patient’s socio-demographic and clinical characteristics were recorded. CVD diagnoses were made using established diagnostic criterias. Comparisons were done using chi-square test and student’s t-test. Multivariable logistic regression analysis was used to determine factors associated with abnormal echocardiography. A significance level was set at p-value < 0.05.ResultsIn total 1,050 patients (750 old and 300 young adults) were enrolled. The mean ± SD age was 62.2 ± 10.4 years and 33.5 ± 7.4 years for older and young adults respectively. Hypertension was the commonest indication for echocardiography both in the young (31%) and older (80%) adults. Majority of older adults were found to have abnormal echocardiography (90.7%), while only 44.7% of the young adults had abnormal echocardiography (p < 0.001). For the older adults, the commonest diagnoses were HHD (70.3%), IHD (9.7%), and non-ischemic cardiomyopathy (6.1%) while for young adults, HHD (16.7%), non-ischemic cardiomyopathy (8%), RHD (8%) and MVP (4.3%) were the commonest. The differences in the echocardiographic diagnoses between young and older adults were statistically significant, p < 0.001. Being an older adult, hypertensive, overweight/obese were independently associated with abnormal echocardiography (p < 0.01).ConclusionHypertensive heart disease is the most common diagnosis among adult patients referred for echocardiography at JKCI, both in young and older adults. Primary prevention, early detection and treatment of systemic hypertension should be reinforced in order to delay or prevent its complications.

High Diagnostic Uncertainty and Inaccuracy in Adult Emergency Department Patients With Dyspnea: A National Database Analysis.

BackgroundIt is well known that diabetes mellitus (DM) affects health-related quality of life (HRQOL) in both younger (aged 18–64 years) and older adults (aged ≥ 65 years). However, to date, no study has compared HRQOL and its predictors between younger and older adults with DM in Indonesia. Such a comparison is important because the results can guide nurses and clinicians to establish evidence-based educational programs that are specific and suitable for patients. Therefore, the aim of this study was to investigate the difference in HRQOL and its predictors in younger and older adults with DM in Indonesia.MethodsA cross-sectional study was conducted on 641 patients with type 2 diabetes mellitus (T2DM) who were recruited via simple random sampling from 16 primary health centers in Banyumas Regency, Indonesia. A self-administered questionnaire containing the Summary of Diabetes Self-Care Activities, the DDS17 Bahasa Indonesia, the Beck Depression Inventory II, the Self-Efficacy for Diabetes Scale, the Family APGAR, and the 36-item Short-Form Health Survey was used to measure diabetes self-management (DSM), diabetes distress (DD), depression, self-efficacy, family support, and HRQOL, respectively. Independent t-tests were used to compare the physical component summary (PCS) and mental component summary (MCS) scores between younger and older adults with T2DM. Hierarchical multiple regression analyses were used to examine the factors associated with HRQOL in both groups.ResultsPCS scores were significantly different between the two groups. Older adults reported lower PCS scores than younger adults. No differences between the two groups were observed in the MCS scores. The hierarchical multiple regression analysis showed that level of education, employment status, number of diabetes-related complications, DSM, DD, depression, and self-efficacy were significant predictors of HRQOL in younger adults, while income, depression, DD, and self-efficacy were significant predictors of HRQOL in older adults. DD was the strongest predictor of HRQOL in younger adults, and depression was the strongest predictor in older adults.ConclusionOlder adult patients had lower PCS scores than younger adult patients. This study is the first to show that the predictors of HRQOL differ between younger and older adults with T2DM. It provides insights for nurses and clinicians in Indonesia to establish evidence-based, age-specific educational programs.

Objective: The purpose of this study was to examine differences between older and younger adults who received integrated treatment for co-occurring substance use and mental disorders, including differences on demographic and baseline characteristics (e.g., substance use, readiness for change, mental health symptoms, and severity of problems associated with substance use), as well as predictors of retention in treatment. Methods: This study included 1400 adults who received integrated substance abuse and mental health treatment services at one of two private residential facilities offering residential and outpatient services. Initial analyses consisted of basic descriptive and bivariate analyses to examine differences between older (≥ 50 years old) and younger (< 50 years old) adults on baseline variables. Next, three ordinary least squares regression models were employed to examine the influence of baseline characteristics on length of stay. Results: Three main findings emerged. First, older adults differed from younger adults on pre-treatment characteristics. Older adults used more alcohol and experienced greater problem severity in the medical and alcohol domains, while younger adults used more illicit drugs (e.g., heroin, marijuana, and cocaine) and experienced problems in the drug, legal, and family/social domains. Second, while readiness to change did not differ between groups at baseline, older adults remained enrolled in treatment for a shorter period of time (nearly four days on average) than younger adults. Third, the pattern of variables that influenced length of stay in treatment for older adults differed from that of younger adults. Treatment retention for older adults was most influenced by internal factors, like psychological symptoms and problems, while younger adults seemed influenced primarily by external factors, like drug use, employment difficulties, and readiness for change. Conclusions: The results of this study add to the limited knowledge base regarding older adults receiving integrated treatment for co-occurring substance use and mental health disorders by documenting that age-based differences exist in general and in the factors that are associated with the length of stay in residential treatment.

PurposeEstablish bedside biomarkers of myosteatosis for sarcopenia and cachexia. We compared ultrasound biomarkers against MRI-based percent fat, histology, and CT-based muscle density among healthy adults and adults undergoing treatment for lung cancer.MethodsWe compared ultrasound and MRI myosteatosis measures among young healthy, older healthy, and older adults with non-small cell lung cancer undergoing systemic treatment, all without significant medical concerns, in a cross-sectional pilot study. We assessed each participant's rectus femoris ultrasound-based echo intensity (EI), shear wave elastography-based shear wave speed, and MRI-based proton density fat-fraction (PDFF). We also assessed BMI, rectus femoris thickness and cross-sectional area. Rectus femoris biopsies were taken for all older adults (n = 20) and we analyzed chest CT scans for older adults undergoing treatment (n = 10). We determined associations between muscle assessments and BMI, and compared these assessments between groups.ResultsA total of 10 young healthy adults, 10 older healthy adults, and 10 older adults undergoing treatment were recruited. PDFF was lower in young adults than in older healthy adults and older adults undergoing treatment (0.3 vs. 2.8 vs. 2.9%, respectively, p = 0.01). Young adults had significantly lower EI than older healthy adults, but not older adults undergoing treatment (48.6 vs. 81.8 vs. 75.4, p = 0.02). When comparing associations between measures, PDFF was strongly associated with EI (ρ = 0.75, p < 0.01) and moderately negatively associated with shear wave speed (ρ = −0.49, p < 0.01) but not BMI, whole leg cross-sectional area, or rectus femoris cross-sectional area. Among participants with CT scans, paraspinal muscle density was significantly associated with PDFF (ρ = −0.70, p = 0.023). Histological markers of inflammation or degradation did not differ between older adult groups.ConclusionPDFF was sensitive to myosteatosis between young adults and both older adult groups. EI was less sensitive to myosteatosis between groups, yet EI was strongly associated with PDFF unlike BMI, which is typically used in cachexia diagnosis. Our results suggest that ultrasound measures may serve to determine myosteatosis at the bedside and are more useful diagnostically than traditional weight assessments like BMI. These results show promise of using EI, shear wave speed, and PDFF proxies of myosteatosis as diagnostic and therapeutic biomarkers of sarcopenia and cachexia.

The Role of Oxytocin in Older Adults’ Facial Emotion Recognition Difficulties

Effective processing of multisensory stimuli relies on both the peripheral sensory organs and central processing in subcortical and cortical structures. As we age, there are significant changes in all sensory systems and a variety of cognitive functions. Visual acuity tends to decrease and hearing thresholds generally increase (Kalina 1997; Liu and Yan 2007), whereas performance levels on tasks of motor speed, executive function, and memory typically decline (Rapp and Heindel 1994; Birren and Fisher 1995; Rhodes 2004). There are also widespread changes in the aging brain, including reductions in gray and white matter volume (Good et al. 2001; Salat et al. 2009), alterations in neurotransmitter systems (Muir 1997; Backman et al. 2006), regional hypoperfusion (Martin et al. 1991; Bertsch et al. 2009), and altered patterns of functional activity during cognitive tasks (Cabeza et al. 2004; Grady 2008). Given the extent of age-related alterations in sensation, perception, and cognition, as well as in the anatomy and physiology of the brain, it is not surprising that multisensory integration also changes with age.Several early studies provided mixed results on the differences between multisensory processing in older and younger adults (Stine et al. 1990; Helfer 1998; Strupp et al. 1999; Cienkowski and Carney 2002; Sommers et al. 2005). For example, Stine and colleagues (1990) reported that although younger adults’ memory for news events was better after audiovisual presentation than after auditory information alone, older adults did not show improvement during the multisensory conditions. In contrast, Cienkowski and Carney (2002) demonstrated that audiovisual integration on the McGurk illusion was similar for older and younger adults, and that in some conditions, older adults were even more likely to report the fusion of visual and auditory information than their young counterparts. Similarly, in a study examining the contribution of somatosensory input to participants’ perception of visuospatial orientation, Strupp et al. (1999) reported an age-related increase in the integration of somatosensory information into the multisensory representation of body orientation.Despite providing a good indication that multisensory processing is somehow altered in aging, the results of these studies are somewhat difficult to interpret due to their use of complex cognitive tasks and illusions, and to the variability in analysis methods. Several newer studies that have attempted to address these factors more clearly demonstrate that multisensory integration is enhanced in older adults (Laurienti et al. 2006; Peiffer et al. 2007; Diederich et al. 2008).On a two-choice audiovisual discrimination task, Laurienti and colleagues (2006) showed that response time (RT) benefits for multisensory versus unisensory targets were larger for older adults than for younger adults (Figure 20.1). That is, older adults’ responses during audiovisual conditions were speeded more than younger adults’, when compared with their respective responses during unisensory conditions. Multisensory gains in older adults remained significantly larger than those observed in younger adults, even after controlling for the presence of two targets in the multisensory condition (redundant target effect; Miller 1982, 1986; Laurienti et al. 2006).Using similar analysis methods, Peiffer et al. (2007) also reported increased multisensory gains in older adults. On a simple RT task, where average unisensory RTs were equivalent in younger and older adults, older adults actually responded faster than younger adults on multisensory trials because of their enhanced multisensory integration (Peiffer et al. 2007). Diederich and colleagues (2008) have also shown that older adults exhibit greater speeding of responses to multisensory targets than younger adults on a saccadic RT task. The analysis methods used in this experiment indicate a slowing of peripheral sensory processing, as well as a wider time window over which integration of auditory and visual stimuli can occur (Diederich et al. 2008).These experiments highlight several possible explanations that could help answer a critical question about multisensory processing in aging: Why do older adults exhibit greater integration of multisensory stimuli than younger adults? Potential sources of enhanced integration in older adults include age-related cognitive slowing not specific to multisensory processing, inverse effectiveness associated with sensory deficits, alterations in the temporal parameters of integration, and inefficient top–down modulation of sensory processing. In the following sections we will investigate each of these possible explanations in greater detail and offer some alternative hypotheses for the basis of enhanced multisensory integration in older adults.

The hyperemic response to passive leg movement (PLM) is largely (~80%) nitric oxide (NO) mediated in young adults, whereas both the overall response and NO contribution (~20%) are diminished in older adults. A transient hyperemic response remains in both groups after NO blockade, however, the mechanisms contributing to this remaining response are unknown. Vasodilatory substances including prostaglandins (PG) and endothelial derived hyperpolarizing factors (EDHF) are primary candidates contributing to PLM response. Moreover, these underlying mechanisms of the PLM response are likely influenced by exercise training in both young and older adults but this remains to be determined. Thus, we sought to determine if 1) PG and EDHF contribute to the hyperemic response in older adults, and 2) exercise training alters the mechanisms contributing to changes in PLM (i.e., NO, PG, or EDHF). The leg blood flow (LBF) response to PLM was measured by Doppler ultrasound in 9 young (25±4 yr) and 9 older (69±5 yr) adult males. PLM was performed with intra-arterial infusions of saline (control), NG-monomethyl-L-arginine (L-NMMA) to inhibit NOS and NO production, and a combination of L-NMMA, ketorolac tromethamine (KET) to inhibit cyclooxygenase and PG production, and fluconazole (FLUC) to inhibit cytochrome P-450 and EDHF (L-NMMA+KET+FLUC). This PLM and drug infusion protocol were repeated following 8 weeks of single leg knee-extension (KE) exercise training to determine if the vasodilatory mechanisms regulating PLM-induced hyperemia are altered by exercise training. The hyperemic response to PLM (total LBF area under the curve) was significantly attenuated from control with infusion of L-NMMA in young adults (-287±280 mL, p&lt;0.05) but remained unchanged in the older (-55±86 mL, P=0.70). Combined infusion of L-NMMA+KET+FLUC yielded similar results such that PLM decreased to the same degree as L-NMMA in young (-276±108 mL, p&lt;0.05) with no significant change in older adults (-116±81 mL, P=0.36). Following 8 weeks of single leg KE training, maximal power (KEmax) improved in both young (+33±13 W, p&lt;0.05) and older adults (+16±8 W, p&lt;0.05). Despite improvements in KEmax, the hyperemic response to PLM only increased in young adults by ~30% (454±194 v. 604±351 mL, p&lt;0.05), while no improvement was observed in older adults (225±142 v. 236±89 mL, P=0.86). The contribution of NO to PLM did not change following exercise training in either young (-238±217 mL, P=0.14) or older (-62±82 mL, P=0.72) adults. Likewise, the contribution of PG and EDHF also did not change in both young (-306±222 mL, P=0.68) and older (-108±116 mL, P=0.77) adults. These findings indicate that PG and EDHF do not have an additive effect to NO on the hyperemic response to PLM in both young and older adults. Therefore, the remaining hyperemic response following combined NO, PG, and EDHF inhibition is likely driven by non-endothelial dependent mechanisms. Moreover, these data indicate that 8 weeks of KE specific exercise training significantly improves the hyperemic response to PLM in young but not older adults. Interestingly, the observed improvements to PLM were not directly mediated through the NO, PG, or EDHF pathways but by some other, currently unidentified, mechanism. National Institutes of Health R01HL142603 (to J.D. Trinity) This abstract was presented at the American Physiology Summit 2025 and is only available in HTML format. There is no downloadable file or PDF version. The Physiology editorial board was not involved in the peer review process.

Chronic pain and aging trigger different plastic changes in pain processing, however, their combined effects on electroencephalographic correlates remain unexplored. This study aimed to examine these neural processing alterations in older adults with chronic pain, comparing them with pain-free older and younger adults. We compared pain-related evoked potentials (Pain ERPs) of 26 older adults with chronic pain (69,15 ± 4.63 years; 11 males), 26 pain-free older participants (69,65 ± 4.08 years; 12 males) and 27 pain-free younger adults (21,37 ± 1.92 years; 14 males). Participants received 30 painful and 30 non-painful electrical stimuli to the dorsum of the non-dominant hand individually calibrated using intra-epidermal electrical stimulation (IES) delivered via a concentric needle WASP electrode. EEG data were analysed using cluster-based permutation test. Older participants with chronic pain showed enhanced pain ERPs from 150 to 500 ms in comparison to healthy older adults. Younger adults showed higher amplitudes than both older participants' groups except in late potentials (350-500 ms). No differences between younger and older adults with chronic pain were found. : We found a similar amplitude reduction in early (linked to sensory processing), but increased amplitude in late (linked to evaluative and attentional mechanisms) evoked potentials to pain in older adults with chronic pain in contrast to pain-free older adults. This pattern may reflect an age-related sensory coding decline combined with chronic pain-related enhancement of affective-attentional processing. Altogether suggest that plastic changes driven by suffering from long-lasting pain outweigh those resulting from the normal aging process when both coexist.

Sensorimotor control strategies during cervical axial rotation movements have been previously explored in narrow age ranges but never concurrently in Children and Seniors during a well-standardized task. However, the lifespan developmental approach provides a framework for research in human sensorimotor control of the head-neck complex. A cross-sectional design was used to investigate the influence of age on head-neck dynamic performance adopted by asymptomatic Children, Adults and Seniors using a standardized task (DidRen Laser test). Participants performed 5 cycles of left/right head-neck complex fast rotational movements toward 3 targets with 30° of angular separation. Dynamic performances were computed from total execution time of the test and kinematic variables derived from rotational motion of head measured by an optoelectronic system. Eighty-one participants, aged 8–85 yrs, were stratified in four groups: Children, Younger adults, Older adults and Seniors. Children were significantly slower than Younger (p<0.001) and Older adults (p<0.004) and Seniors slower than Younger adults (p<0.017) to perform the test. Children adopted a lower average speed compared to Younger (p<0.001) and Older adults (p<0.008). Children reached the peaks speed significantly later than Younger (p<0.004) and Older adults (p<0.04) and acceleration significantly later than Younger (p<0.001) and Older adults (p<0.013). From the peak acceleration, Children reached end of the cycle significantly slower than Younger (p<0.008) and Older adults (p<0.008). Children significantly differed from all other groups for rotational kinetic energy, with smaller values compared to Younger adults (p<0.001), Older adults (p<0.005) and Seniors (p<0.012). Variability was also significantly higher for Seniors and Children. In conclusion, age influences head-neck visually elicited rotational dynamics, especially in Children. These results suggest that age should be taken into account when establishing normative data and assessing dynamic head-neck sensorimotor control of patients with neck pain.

Introduction: Stroke incidence is reportedly increasing in younger adults. While increasing vascular risk factor prevalence has been suggested as a cause, the reasons for rising stroke incidence in the young are not clear. We explored several alternate explanations: trends in neurologically-focused emergency department (ED) visits, differential diagnostic classification of stroke and TIA over time, and changes in the use of advanced imaging in young and older adults. Methods: We performed a retrospective, serial, cross-sectional study on a nationally representative sample of all ED visits in the United States to quantify changes in patterns of neurologically-focused ED visits, stroke and TIA diagnoses, and rates of MRI utilization for young (18 – 44 years) and older (65+ years) adults over a 17-year period (1995 – 2000; 2005 – 2015) using National Hospital Ambulatory Medical Care Survey (NHAMCS) data. Results: In young adults, 0.4% (95% CI 0.3% – 0.5%) of neurologically-focused ED visits resulted in a primary diagnosis of stroke vs. 6.8% (95% CI 6.2% – 7.5%) for older adults. In both populations, the incidence of neurologically-focused ED visits has increased over time (+111/100,000 population/year, 95% CI +94 – +130 in the young vs. +70/100,000 population/year, 95% CI +34 – +108 in older adults). There was no evidence of differential classification of TIA to stroke over time (OR 1.001 per year, 95% CI 0.926 – 1.083 in the young; OR 1.003 per year, 95% CI 0.982 – 1.026 in older adults) and no evidence of disproportionate rise in MRI utilization for neurologically-focused ED visits in the young (OR 1.057 per year, 95% CI 1.028 – 1.086 in the young; OR 1.095 per year, 95% CI 1.066 – 1.125 in older adults). Conclusions: If the specificity of stroke diagnosis amongst ED visits is similar amongst young and older populations, then the combination of data observed here, including (1) a lower prior probability of stroke diagnoses in the young and (2) an increasing trend in neurologically-focused ED visits in both age groups, suggests that false positive diagnoses will increase over time, with a faster rise in the young compared to older adults. These data suggest a potential explanation that may contribute to higher stroke incidence in the young and merits further scrutiny.