Age Group Differences Research Articles

Effects of changes in temperature and precipitation as climate factors that influence the spread of climate-related diseases: a systematic review

ABSTRACT Climate change is an environmental problem that leads to extreme flood and drought events in various geographical regions. The review seeks to establish pertinent issues around changes in temperature and precipitation as climate factors which have been under-researched. It will be established whether the spread of disease and other human risks have been reported under various temperature and precipitation levels; whether sound adaptation measures are in place; communities are provided with awareness toward adaptation methods; and educated on how to deal with mental problems and anxiety caused by climate change. The review has established that little research has modeled variation in human characteristics like age group differences and health fluctuations with climate change, under a wide spectrum of temperature and precipitation. Southern African countries’ research also lacks projection of climate change impacts and risk distribution maps for vector borne diseases under RCP2.6, RCP4.4, RCP6.0 and RCP8.0. In addition, there has been bias in previous studies regarding a combination of temperature and precipitation, as well as non-climatic factors that may be favorable for spread and transmission of specified VBDs. Recommendations from this review could be adopted by countries in order to protect communities’ health.

Using multivariate partial least squares on fNIRS data to examine load-dependent brain-behaviour relationships in aging.

Researchers implementing non-invasive neuroimaging have reported distinct load-dependent brain activity patterns in older adults compared with younger adults. Although findings are mixed, these age-related patterns are often associated with compensatory mechanisms of cognitive decline even in the absence of direct comparisons between brain activity and cognitive performance. This study investigated the effects of cognitive load on brain-behavior relationships in younger and older adults using a data-driven, multivariate partial least squares (PLS) analysis of functional near-infrared spectroscopy (fNIRS) data. We measured bilateral prefrontal brain activity in 31 older and 27 younger adults while they performed single and dual 2-back tasks. Behavioral PLS analysis was used to determine relationships between performance metrics (reaction time and error rate) and brain oxygenation (HbO) and deoxygenation (HbR) patterns across groups and task loads. Results revealed significant age-group differences in brain-behavior relationships. In younger adults, increased brain activity (i.e., increased HbO and decreased HbR) was associated with faster reaction times and better accuracy in the single task, indicating sufficient neural capacity. Conversely, older adults showed a negative correlation between HbR and error rates in the single task; however, in the dual task, they demonstrated a positive relationship between HbO and performance, indicative of compensatory mechanisms under the higher cognitive load. Overall, older adults' showed relationships with either HbR or HbO, but not both, indicating that the robustness of the relationship between brain activity and behavior varies across task load conditions. Our PLS approach revealed distinct load-dependent brain activity between age groups, providing further insight into neurocognitive aging patterns, such as compensatory mechanisms, by emphasizing the variability and complexity of brain-behavior relationships. Our findings also highlight the importance of considering task complexity and cognitive demands in interpreting age-related brain activity patterns.

Age Group Differences in Social Media Language Use: Identity Representation via Emojis and Abbreviations

This paper aims to analyse how age groups impact the use of social media language (SL) in online textual conversations, focusing on the type, polarity, and subjectivity of SL to explore identity representation across different age groups. During data collection in 2023, there were 4.76 billion social media users worldwide; hence, understanding the use of SL is essential for analysing how individuals express their emotions and identities online. SL consists of emoticons/emojis, abbreviations, and mixed language in textual conversations. For this study, a qualitative approach was used, with 46 participants from three age groups: 25-34, 35-44, and 45-54 engaging in mock group conversations for one hour using WhatsApp. The participants were separated into six group conversations. The findings show that the older age groups (35-44 and 45-54) prefer to discuss technical or professional topics, whereas the younger age groups (25-34) are more interested in games, food, entertainment, and fun. Furthermore, for the age group 25-34 there is a high usage of emoticons/emojis, whereas the age group 45-54 uses them the least. These findings indicate that age groups have a significant influence on the use of SL and topic preferences in textual conversations, providing insights that will be used to develop a Natural Language Processing (NLP) tool for online identity classification. This study enhances human-computer interaction by investigating how different age groups use SL in digital environments.

Differences in SARS-CoV-2 antibody prevalence at the end of the pre-vaccination period between age groups: A cross-sectional analysis of the multi-ethnic population-based HELIUS study.

During the first waves of the COVID-19 pandemic, SARS-CoV-2 antibody prevalence (seroprevalence) was lower in older compared to younger adults. We studied age group differences in SARS-CoV-2 seroprevalence, across ethnic groups, and assessed the explanatory value of factors that increase the exposure to the virus, and factors related to susceptibility, given the level of exposure. We analysed cross-sectional data from 2,064 participants from the multi-ethnic HELIUS study (Amsterdam, The Netherlands). SARS-CoV-2 seroprevalence at the second wave of infections was compared between age groups (<40, 40-54, and ≥55 years), within ethnic groups, using Poisson regression with robust standard errors. To determine whether age group differences were explained by differences in exposure and in susceptibility, we sequentially adjusted for exposure (job setting, occupation level, health literacy, household size, household member with suspected infection), education level, and susceptibility (vitamin D intake, BMI, systolic blood pressure, haemoglobin level, number of comorbidities). SARS-CoV-2 seroprevalence did not statistically differ across age groups (p>0.05), but age patterns varied across ethnic groups. Age group differences in SARS-CoV-2 seroprevalence were most pronounced in the Dutch majority group, with the highest prevalence ratio in the youngest group (2.55, 95%CI 0.93-6.97) and the lowest in the oldest group (0.53, 95%CI 0.16-1.74), compared to the middle-aged group. In ethnic minority groups, age group differences were smaller. In all groups, patterns did not substantially change after adjustments for exposure and susceptibility variables. We found no evidence of age group differences in SARS-CoV-2 seroprevalence, particularly for ethnic minority groups, even when accounting for exposure and susceptibility. While early prevention strategies particularly aimed at protecting older adults against SARS-CoV-2 infections, seroprevalence was similar across age groups in ethnic minority groups. Thus, older adults in ethnic minority groups may pose a target group for additional prevention strategies for future infectious disease outbreaks.

Historical change in associations between perceived risk, disapproval, and use of cannabis among young adults ages 19–30, 2011–2022

BackgroundThe current study used U.S. young adult data to examine overall and age group-specific historical trends in (a) mean perceived risk and disapproval of cannabis use, and (b) risk/use and disapproval/use associations. MethodsData were collected from 2011 to 2022 from 16,492 respondents aged 19–30 in the national Monitoring the Future panel study. Trends in mean risk and disapproval overall and by age group (19–22, 23–26, 27–30) were modeled. Models regressing any past 30-day cannabis use on risk and disapproval controlled for sex, race/ethnicity, college education, population density, state cannabis policy, region, and year. Age group differences and historical trends in regression estimates from year-specific models were examined. ResultsFrom 2011 to 2022, overall mean perceived risk decreased from 3.08 (just over moderate) to 2.50 (between slight and moderate); mean disapproval decreased from 2.21 (between disapprove and strongly disapprove) to 1.66 (between don’t disapprove and disapprove). Higher risk and disapproval were independently associated with lower odds of past 30-day cannabis use overall (AORs 0.86 and 0.76, respectively); controlling for sociodemographics and state policy had virtually no impact on association strength. There were no significant age-related association differences. The risk/use association weakened from AOR 0.84 in 2011 to AOR 0.91 in 2022; the disapproval/use association remained stable (AORs 0.753 and 0.749). ConclusionsYoung adults now perceive cannabis as less risky and are less disapproving of using than they were a decade ago. Perceived risk has weakened as a cannabis use risk factor over time; disapproval has remained a stable risk factor.

Mapping Age Differences in Brain Energy Metabolites and Metabolic Markers of Cellular Membrane Production and Degradation With 31P Magnetic Resonance Spectroscopy.

Using Phosphorus Magnetic Resonance Spectroscopy (31P MRS), we examined five metabolites associated with brain energy cycle, and cellular membrane production and degradation in 11 brain regions of 48 children (age 6-15), and 80 middle-aged and older adults (age 52-87). Levels of phosphomonoesters (PMEs) and phosphodiesters (PDEs), gamma plus alpha adenosine triphosphate (γαATP), phosphocreatine (PCr) and inorganic phosphate (Pi), were residualized on the total amplitude value. PMEs were greater in children compared to adults, whereas PDEs showed the opposite age difference. Higher γαATP and lower Pi were found in children compared to adults. The age group differences were particularly salient in the association cortices and anterior white matter. Among children, age correlated negatively with PMEs and positively with PDEs in association cortices. Compared to children, adults had lower intracellular pH. The results suggest reduction in membrane synthesis and increase in membrane degradation in adolescents and to a greater degree in adults compared to younger children. Concomitant reduction in γαATP and increase in Pi are consistent with reduced energy consumption in adolescents and further drop in middle-aged and older adults, although it is impossible to distinguish declines in energy supply from reduced demand due to shrinking neuropil, without longitudinal studies.

Self-Rated Health Predicts Mortality -- But It Depends on Your Age

While self-rated health (SRH) has long been known to predict mortality in adult populations, the age of respondents plays an interesting and complex role in both explaining and modifying the association. The objective of this study is to test for differences by age in the association of SRH with all-cause mortality. Because much of the research has been conducted with older samples, a wider age range of adults may show that some age groups have more predictive SRH than others. We estimated Cox proportional hazards models to determine if SRH in 1999 predicted survival to 2021 differently based on age, using data from the Panel Study of Income Dynamics. The sample consisted of 5,843 respondents aged 25 to 97 who were interviewed in 1999 and followed for survival until 2021. We included demographic and socioeconomic factors, physical health and mental health indicators, and health risk behaviors as covariates to assess their potential mediating role in the predictive ability of SRH. The results showed a significant interaction between SRH and age, with larger and more significant hazards for those aged 40-54 and 55-74. There were no significant effects at all for the youngest group and virtually none for the oldest group. For example, for individuals aged 40-54, there were significant HRs for poor health (2.49, 95% CI 1.05, 5.89) and fair health (1.95, 95% CI 1.11, 3.42) compared to excellent health in the fully adjusted models. Our findings suggest that age group differences in the predictiveness of SRH may reflect an absence of health knowledge and experience for younger respondents, and a survivor bias for the oldest age group due to the lifetime elimination of those with poor health.

Diagnostic capability of long-term electrocardiographic telemonitoring for detection of heart rhythm disorders

prevalence of cardiac rhythm and conduction disorders is increasing and associated with the growing amount of people of older age groups. The extended use of traditional electrocardiography (ECG) recorders is currently limited due to duration of the investigation, possible skin irritation and withdrawal of consent by the patients. The aim: evaluation of the frequency of arrythmia incidents in adult patients of different ages by assessing the patch monitoring results, and the impact of the monitoring duration on the possibility of diagnosis. Materials and methods: study included 1123 patients aged from 18 to 99 (599 women and 524 men), data about whom was collected in 2021-2022. ECG was recorded by the «Mawi Heart patch» – a single-use dual-channel device for continuous ECG recording for up to2 7 days. Results: the average ECG monitoring time was 81,03±18,5 hours or 3,37±0,7 days. The majority of the participants (74,35%) received the continuous 3-day ECG monitoring. Most rhythm disorders were recorded in the first 24 hours, but over the next 2 days, atrial fibrillation (AF) was detected in 7,66%, more often in men (48 participants, p=0,048) and with some differences in age groups. Starting above 50 years of age, the frequency of AF diagnosing on the first monitoring days is decreased and it is significantly statistically lower (61,11%, p&lt;0,05). Three-day ECG monitoring is associated with a higher chance of detecting AF (OR=2,03; 1,53-3,02, p=0,031) regardless of gender, while the 5-day monitoring wasn’t as effective. The prolonging of the monitoring time increased the number of diagnosed supraventricular tachycardia (SVT) cases by 5,53% in men and 8,35% in women. The 3 days of monitoring are associated with a higher chance of SVT detection (OR = 4,18; 3,32–4,95, p=0,009). There is a direct correlation between SVT detection and the older age groups (r=0,53, p&lt;0,05). SVT detection is higher in patients of 71-80 years old (OR = 2,71; 2,35–3,75, p=0,0041), and of 81-99 years (OR = 2,92; 2,56–3,49, p=0,0039). Conclusion: The frequency of arrhythmia detection, in patients referred to long-term patch monitoring, is high both for AF and SVT. The sex and age patterns for the prevalence of the described arrhythmias were statistically confirmed. The use of long-term ECG patch monitoring increases the chance of arrhythmia detection, primarily for older patients.

White matter connectivity linked to novel word learning in children.

Children and adults are excellent word learners. Increasing evidence suggests that the neural mechanisms that allow us to learn words change with age. In a recent fMRI study from our group, several brain regions exhibited age-related differences when accessing newly learned words in a second language (L2; Takashima et al. Dev Cogn Neurosci 37, 2019). Namely, while the Teen group (aged 14-16years) activated more left frontal and parietal regions, the Young group (aged 8-10years) activated right frontal and parietal regions. In the current study we analyzed the structural connectivity data from the aforementioned study, examining the white matter connectivity of the regions that showed age-related functional activation differences. Age group differences in streamline density as well as correlations with L2 word learning success and their interaction were examined. The Teen group showed stronger connectivity than the Young group in the right arcuate fasciculus (AF). Furthermore, white matter connectivity and memory for L2 words across the two age groups correlated in the left AF and the right anterior thalamic radiation (ATR) such that higher connectivity in the left AF and lower connectivity in the right ATR was related to better memory for L2 words. Additionally, connectivity in the area of the right AF that exhibited age-related differences predicted word learning success. The finding that across the two age groups, stronger connectivity is related to better memory for words lends further support to the hypothesis that the prolonged maturation of the prefrontal cortex, here in the form of structural connectivity, plays an important role in the development of memory.

Examining School Escorting Travel Behaviors from the Perspective of the Trip Chain

ABSTRACT School trips of schoolchildren usually require family escort and accompaniment. Only by conducting a comprehensive analysis from the perspective of the trip chain can we understand the similarities and differences in school transportation. A series of statistical analyses were conducted on the school escorting travel behaviors. Accordingly, sub-classification of the two trip chain types was defined and their trip chain lengths were compared. Subsequently, gender and age group differences for escort guardians were studied. The results suggest that: (1) Significant differences exist in activities and trips between escorting to and from school. (2) There is a significant association between escort choices, duration of escort activities, and escort modes with the trip chain type. (3) The average trip chain length of the household-care trip chain and its sub-types are significantly greater than those of the work trip chain. (4) Gender, age group, and escort choice significantly influence the trip chain type.

Impact of the Swine flu pandemic on General Practitioner (GP) visits in Finland: sex and age differences

BackgroundSwine flu might serve as a model for challenges that primary care faces during pandemics. This study examined changes in the numbers and diagnoses of general practitioner (GP) visits during and after the Swine flu pandemic in Vantaa, a Finnish city, and how GP activities recovered after the pandemic. Putative sex and age group differences were also evaluated.MethodsThe study was an observational retrospective study. The monthly number of patient visits to primary care GPs by women and men in age groups 0–19, 20–64 and 65 + years was recorded before, during and two years after the Swine flu pandemic. The recorded diagnoses were also examined. The investigation period was from 2008 to 2012.ResultsThe numbers of monthly visits to primary care decreased from 12 324 (mean) to 10 817 in women and from 8563 to 7612 in men during the first six months of the Swine flu, returning to the original level afterwards. This decrease was thus slightly more prominent in women. However, as the size of the population increased during the follow-up period, the actual number of GP visits adjusted for the size of population remained at a decreased level for two years after the Swine flu. This decrease was observed especially in office-hours visits of men (from 3692 to 3260) and women (from 6301 to 5428) of 20–64 years. Swine flu did not alter the number of visits to the primary care Emergency Department. The proportion of visits with diagnostic recordings of common infectious diseases mostly decreased during the Swine flu. Only a minor impact on the distribution of recordings of chronic diagnoses was found.ConclusionA pandemic, such as Swine flu, may decrease office-hours visits to primary care GPs. This in turn may lead to activities of primary care being adjusted downward for a long time following the pandemic. Especially the age group 20–64 years may be affected. This risk should be considered when recovery from the COVID-19 pandemic begins. Swine flu did not affect the proportion of consultations of chronic diseases, but the number of diagnoses of common infectious diseases had diminished.

Testosterone and the prevention of type 2 diabetes mellitus: therapeutic implications from recent trials.

Type 2 diabetes (T2D) is increasing to epidemic proportions and frequently associated with obesity and a low serum testosterone concentration in men. This review valuates recent randomized controlled trials (RCTs) investigating the effect of testosterone treatment on glycemic control and T2D prevention. The 2-year Testosterone for the Prevention of Type 2 diabetes Trial (T4DM) study showed that in men aged 50 years and over with visceral obesity and impaired glucose tolerance, testosterone treatment on the background of a lifestyle intervention reduced T2D risk by 40%. The Testosterone Effects on Atherosclerosis Progression in Aging Men and Testosterone Trials demonstrated modest improvements in insulin sensitivity and body composition. However, the Testosterone Replacement Therapy for Assessment of Long-Term Vascular Events and Efficacy Response in Hypogonadal Men trial found no significant glycemic benefits over 2 years. Recent data from the Diabetes Prevention Program Outcome Study support the cost efficacy and durability of metformin. In men at high risk of T2D, treatment with testosterone prevents the disease; however, there are caveats to its use and other approaches may be more applicable. Differences in trial designs, age groups, and outcome measures contribute to varying results. HbA1C is a suboptimal outcome measure. Future research should explore potential synergies between testosterone and GLP-1 receptor agonists in T2D management, while considering cost-effectiveness.

Brain age is not a significant predictor of relapse risk in late-life depression

Late-life depression (LLD) has been associated cross-sectionally with lower brain structural volumes and accelerated brain aging compared to healthy controls (HC). There are few longitudinal studies on the neurobiological predictors of recurrence in LLD. We tested a machine learning (ML) brain age model and its prospective association with LLD recurrence risk. We recruited individuals with LLD (n=102) and HC (n=43) into a multi-site 2-yr longitudinal study. Individuals with LLD were enrolled within 4 months of remission. Remitted LLD participants underwent baseline neuroimaging and longitudinal clinical follow-up. Over 2 years, 43 LLD participants relapsed (REL) and 59 stayed in remission (REM). We used a previously developed ML brain age algorithm to compute brain age at baseline and we evaluated brain age group differences (HC vs. LLD and HC vs. REM vs. REL). We conducted a Cox proportional hazards model to evaluate whether baseline brain age predicted time to relapse. We found that brain age did not significantly differ between HC and LLD as well as HC, REM, and REL groups. Brain age did not significantly predict time to relapse. In contrast to our hypothesis, we found that brain age did not differ between non-depressed controls and individuals with remitted LLD, and brain age was not associated with subsequent recurrence. This is in contrast to existing literature which has identified baseline brain age differences in late life but in line with work that shows no differences between those who do and do not relapse on gross structural measures.

Perceived Social Support and Self-Esteem among Pregnant Women

This study aimed at studying the association between self-esteem and perceived social support among the pregnant women. This research was based on a correlational research design along with quantitative approach. Survey method was used to collect the data from the targeted population, including pregnant women in public and private hospitals and clinics within Islamabad and Rawalpindi, and the sample was designed using convenient sampling. was used. Self-reported measures including Rosenberg Self-esteem Scale (RSES) and Multidimensional Scale of Perceived Social Support (MSPSS) were used. The gathered data was analysed statistically and the findings indicate that there is a significant positive association exists between perceived social support and self-esteem. In studying the demographic differences, it was demonstrated that educational and age group differences were mildly found in different groups. Middle adults showed higher level of perceived social support as compare to the young ones. Beside the limitations of the study, these findings could assist health care practitioners and lawmakers build stronger networks of support for pregnant women, which in turn can boost their mental health and self-esteem.

Reduced neural distinctiveness of speech representations in the middle-aged brain.

Speech perception declines independent of hearing thresholds in middle-age, and the neurobiological reasons are unclear. In line with the age-related neural dedifferentiation hypothesis, we predicted that middle-aged adults show less distinct cortical representations of phonemes and acoustic-phonetic features relative to younger adults. In addition to an extensive audiological, auditory electrophysiological, and speech perceptual test battery, we measured electroencephalographic responses time-locked to phoneme instances (phoneme-related potential; PRP) in naturalistic, continuous speech and trained neural network classifiers to predict phonemes from these responses. Consistent with age-related neural dedifferentiation, phoneme predictions were less accurate, more uncertain, and involved a broader network for middle-aged adults compared with younger adults. Representational similarity analysis revealed that the featural relationship between phonemes was less robust in middle-age. Electrophysiological and behavioral measures revealed signatures of cochlear neural degeneration (CND) and speech perceptual deficits in middle-aged adults relative to younger adults. Consistent with prior work in animal models, signatures of CND were associated with greater cortical dedifferentiation, explaining nearly a third of the variance in PRP prediction accuracy together with measures of acoustic neural processing. Notably, even after controlling for CND signatures and acoustic processing abilities, age-group differences in PRP prediction accuracy remained. Overall, our results reveal "fuzzier" phonemic representations, suggesting that age-related cortical neural dedifferentiation can occur even in middle-age and may underlie speech perceptual challenges, despite a normal audiogram.

Sex Difference in Disease-Related Adverse Events Post-Diagnosis of Lung Cancer Brain Metastases in Medicare Individuals ≥ 66 Years of Age.

Sex differences are evident in adverse events (AEs) related to brain tumors, yet sex differences in AEs specific to brain metastases (BrMs) are underexplored. Lung cancer BrMs dominate among BrM, comprising over half of cases. This study examined sex differences in AEs associated with lung cancer BrMs in individuals aged 66 or older using the SEER-Medicare dataset. Multivariable logistic regression, adjusted for demographic factors and comorbidities, stratified by histological subtype, treatment, age, and year of diagnosis were used to analyze AEs among those with BrMs from primary lung tumors. Year of diagnosis was grouped into prior/post-2013, to account for shifts in treatment paradigms. The results showed nuanced sex-specific AEs. Females diagnosed post-2013 with small-cell, squamous-cell, or other non-small-cell carcinoma BrMs had a higher headache likelihood than males. Males with adenocarcinoma post-2013 were more likely to experience brain herniation. Females aged 76 and older with small-cell BrM exhibited increased vision difficulty risk compared to males of the same age, with no significant difference in other age groups. Males treated for adenocarcinoma faced heightened hemorrhagic stroke risk. This study reveals sex-specific disparities in AEs among older individuals with lung cancer BrMs, varying by histological subtype, age, diagnosis year, and treatment.

Psychometric Properties of Fine Motor Function Measure in Children With Cerebral Palsy: A Rasch Analysis.

Our study utilized Rasch Analysis to examine the psychometric properties of 61-items fine motor function measure (FMFM) in children with cerebral palsy (CP). Partial credit model (PCM) was utilized to test the reliability and validity of FMFM. The response pattern of this samples displayed acceptable fitness to PCM. The analysis results supported the assumption of 1-dimensionality of FMFM. Disordered category thresholds were found in 30 items. Differential item functioning (DIF) was detected in 23 items. Participants with different CP subtypes in different age groups may perform in differently responses patterns. The Rasch analysis produces reliable evidence to support the clinical application of FMFM. Some items may produce inaccurate measurements originated from category structures. Difference in age groups and symptom topography may be associated with variation in fine motor ability among children with CP and leading to unnecessary assessment bias. Hence, FMFM items need modifications to calibrate the former item formulation.

Assessment of Balance During a Single-Limb Stance Task in Healthy Adults: A Cross-Sectional Study.

Single-limb stance (SLS) is a demanding postural task, widely used for balance assessment in both research and clinical practice. Despite extensive data on elderly and clinical populations, less is known about younger and healthier adults. Our aim in this study was to assess balance during a SLS task among a cohort of healthy adults to determine whether there are age or sex group or testing condition differences in performances. In this cross-sectional study, we involved 120 participants aged 30-65 years and divided them into four age sub-groups with equal numbers of males and females in each. We assessed balance during a 45-s SLS task on a] the Delos Postural Proprioceptive System for both lower limbs in two conditions - open eyes (OE) and closed eyes (CE). We calculated stability (SI) and autonomy (AU) indices and used analysis of variance to determine that there was no significant effect of limb dominance or sex on balance parameters. However, there was a significant interaction effect between age group and testing condition for both SI and AU (p < .001 for both), with balance worsening as age increased only in the CE condition. These results highlight a pattern of balance decline with age when vision is eliminated from balance performance, underscoring the critical relationship between sensory input and postural control as people age.

Surgical Outcomes in Octogenarians with Heart Failure and Reduced Ejection Fraction following Isolated Coronary Artery Bypass Grafting-A Propensity Score Matched Analysis.

Background/Objectives: The demographic shift towards an aging population necessitates a reevaluation of surgical interventions like coronary artery bypass grafting (CABG) in octogenarians. This study aims to elucidate the outcomes of CABG in octogenarians with heart failure and reduced ejection fraction (HFrEF), a group traditionally considered at high risk for such procedures. Methods: Conducted across four academic hospitals in Germany from 2017 to 2023, this retrospective multicenter study assessed 100 patients (50 octogenarians ≥80 years and 50 non-octogenarians <80 years) with HFrEF undergoing isolated CABG. Through propensity score matching, the study aimed to compare the incidence of major adverse cardiac and cerebrovascular events (MACCEs), as well as other clinical endpoints, between the two groups. Statistical analyses included chi-square, ANOVA, Mann-Whitney U test, Cox regression, and logistic regression, aiming to identify significant differences in outcomes. Results: The study revealed no significant difference in the combined incidence of MACCEs between octogenarians and non-octogenarians (OR: 0.790, 95% CI: 0.174-3.576, p = 0.759). Mortality rates were similar across groups (7% each, p = 1.000), as were occurrences of postoperative myocardial infarction (2% each, p = 1.000) and stroke (3% total). Secondary outcomes like delirium (17% total, no significant age group difference, p = 0.755), acute kidney injury (18% total, p = 0.664), and the need for dialysis (14% total, p = 1.000) also showed no differences between age groups. Interestingly, non-octogenarians required more packed red blood cells during their stay (p = 0.008), while other postoperative care metrics, such as hospital and ICU length of stay and ventilation hours, were comparable across groups. Conclusion: This multicenter study highlights that CABG is a viable and safe surgical option for octogenarians with HFrEF, challenging prior assumptions about the elevated risks associated with performing this procedure in older patients. The absence of significant differences in the incidence of MACCEs and other postoperative complications across age groups emphasizes the importance of careful patient selection and perioperative management. These findings advocate for a more inclusive approach to surgical treatment for octogenarians with HFrEF, suggesting that age alone should not be a determinant for CABG eligibility. This study contributes critical insights into optimizing care for a high-risk demographic, indicating a need for tailored guidelines that accommodate the aging population with complex cardiac conditions.

Does the Bayley-4 measure the same constructs across girls and boys and infants, toddlers, and preschoolers?

This study tested the assumption that the Bayley Scales of Infant and Toddler Development, Fourth Edition (Bayley-4) functions similarly for boys and girls and for four age groups. The Bayley-4 American norming sample of 1,700 children ages 0-42 months (3.5 years) was used, which included 50% boys and girls. Fifty-three percent of the children identified as White, 22.1% as Hispanic, 12.5% as Black, 8.5% as other, and 4.0% as Asian. A confirmatory factor analysis demonstrated the three-factor structure of cognitive, language, and motor abilities fit the data well (comparative fit index = .99, root-mean-square of error of approximation = .08, standardized root-mean-square residual = .02) and fit significantly better than the two- and one-factor models. The correlations between the latent factors were moderate (r = .73) to large sized (r = .81). Measurement and structural invariance were tested for boys and girls and four age groups (0-5, 6-13, 14-25, and 26-42 months). Residual invariance was supported for girls and boys, and intercept invariance was supported for the four age groups. The measurement invariance results suggest the Bayley-4 is not biased toward these gender and age groups, and group comparisons and decision making can be made with the Bayley-4 scores. Structural invariance findings suggested some differences for gender and age groups. The relations between the cognitive, language, and motor factors and factor variances were equal across girls and boys but differed significantly across the four age groups. Girls scored significantly higher on the three latent means, but these differences were small to negligible. (PsycInfo Database Record (c) 2024 APA, all rights reserved).