Age Difference Research Articles

MRI analysis of the physiological patellofemoral joint morphology of adult knees.

The aim of the present study was to determine physiological reference values for the morphology of the patella and to analyse these parameters according to patella position in healthy knee joints. Healthy knee joints of 409 patients (mean age, 52.3years [± 16.8]) were analysed retrospectively on MRI images for Insall-Salvati index (ISI), sagittal patella thickness (PTS) and patella length (PLS) as well as axial patella thickness (PTA) and patella width (PWA). Differences between patellar diameters were analysed depending on ISI, side, age and gender. Mean PTS was 20.1 mm (± 2.4), PLS 44.0 mm (± 4.4), PTA 21.8 mm (± 2.4) and PWA 44.5 mm (± 4.7). Depending on the vertical patellar position (ISI), all patellar parameters (p < 0.01) showed significant differences between patients with a patella alta, norma and baja. In general, a smaller ISI showed higher measured values for the patellar parameters. There were no significant differences for the laterality. Only PTS showed a significant age difference (p = 0.031). All parameters were significantly larger in male compared to female knees (p < 0.001). Reference parameters for the patella morphology are reported. Concluding from the results, a relationship between vertical patellar position and patellar morphology seems to exist. This finding should be taken into account in diagnostics and therapy of patella disorders.

Students' Perception of Code-Crossing in EFL Classroom Interaction on Sociocultural

Code-crossing in EFL classroom used by students and lecturers is important due to maintain language politeness in communication. This study aims to disclose students’ perception of code-crossing usage by viewing it from sociocultural. The method of this research is descriptive qualitative. The researcher uses open-ended interview to 12 English Education Department student from semester 4 and 6. The result shows that students often use code-crossing both high-code and low-code and switch one to another depend on the interlocutors. In sociocultural aspect, most of students have positive perception towards several sociocultural; cultural background, age difference, level of education, and linguistic variation. The result reveals that students highly consider intonation of voice, body language, and language selection when they use code-crossing. In conclusion, English Education students mostly have positive perception towards these four sociocultural aspects.

Retirements of professional tennis players in ATP and WTA tour events.

Professional tennis competition at the highest levels requires high physical, technical, tactical, and mental demands. Player retirement is a scenario that often occurs at the highest echelons of the game. The objective of this study was to descriptively determine which factors influence retirement of matches in tennis. Matches from the Women's Tennis Association (WTA) and Association of Tennis Professionals (ATP) tours played over 44 and 46years were included in the study, respectively. The results showed an increasing trend in the incidence of retirements in both ATP and WTA events, especially in recent years. Factors associated with the match characteristics, such as the type of surface, the type of tournament, and the round of the draw, were shown to influence retirement. Variables associated with player characteristics, such as the age difference between players, did not show to influence retirement, whereas the ranking difference did. When comparing ATP and WTA matches, similar results were observed in which surfaces and tournaments had the highest or lowest incidence of retirements. On the other hand, as per the rounds, the results are not conclusive. The findings highlight the growing trend of match retirements in professional tennis and emphasize the relevant influence of match characteristics such as surface type, tournament type, and round of the draw. These insights can guide coaches, players, and tournament organizers in developing strategies to mitigate retirements and inform future research on enhancing player longevity and performance in tennis.

Spousal age difference and risk of hypertension in women: evidence from India

Spousal age difference and risk of hypertension in women: evidence from India

Fundamental Tests of White Dwarf Cooling Physics with Wide Binaries

We present follow-up spectroscopy and a detailed model atmosphere analysis of 29 wide double white dwarfs, including eight systems with a crystallized C/O core member. We use the state-of-the-art evolutionary models to constrain the physical parameters of each star, including the total age. Assuming that the members of wide binaries are coeval, any age difference between the binary members can be used to test the cooling physics for white dwarf stars, including potential delays due to crystallization and 22Ne distillation. We use our control sample of 14 wide binaries with noncrystallized members to show that this method works well; the control sample shows an age difference of only ΔAge = −0.03 ± 0.15 Gyr between its members. For the eight crystallized C/O core systems we find a cooling anomaly of ΔAge = 1.13−1.07+1.20 Gyr. Even though our results are consistent with a small additional cooling delay (∼1 Gyr) from 22Ne distillation and other neutron-rich impurities, the large uncertainties make this result not statistically significant. Nevertheless, we rule out cooling delays longer than 3.6 Gyr at the 99.7% (3σ) confidence level for 0.6–0.9 M ⊙ white dwarfs. Further progress requires larger samples of wide binaries with crystallized massive white dwarf members. We provide a list of subgiant + white dwarf binaries that could be used for this purpose in the future.

Machine Learning-Driven Prediction of Brain Age for Alzheimer's Risk: APOE4 Genotype and Gender Effects.

Background: Alzheimer's disease (AD) is a leading cause of dementia, and it is significantly influenced by the apolipoprotein E4 (APOE4) gene and gender. This study aimed to use machine learning (ML) algorithms to predict brain age and assess AD risk by considering the effects of the APOE4 genotype and gender. Methods: We collected brain volumetric MRI data and medical records from 1100 cognitively unimpaired individuals and 602 patients with AD. We applied three ML regression models-XGBoost, random forest (RF), and linear regression (LR)-to predict brain age. Additionally, we introduced two novel metrics, brain age difference (BAD) and integrated difference (ID), to evaluate the models' performances and analyze the influences of the APOE4 genotype and gender on brain aging. Results: Patients with AD displayed significantly older brain ages compared to their chronological ages, with BADs ranging from 6.5 to 10 years. The RF model outperformed both XGBoost and LR in terms of accuracy, delivering higher ID values and more precise predictions. Comparing the APOE4 carriers with noncarriers, the models showed enhanced ID values and consistent brain age predictions, improving the overall performance. Gender-specific analyses indicated slight enhancements, with the models performing equally well for both genders. Conclusions: This study demonstrates that robust ML models for brain age prediction can play a crucial role in the early detection of AD risk through MRI brain structural imaging. The significant impact of the APOE4 genotype on brain aging and AD risk is also emphasized. These findings highlight the potential of ML models in assessing AD risk and suggest that utilizing AI for AD identification could enable earlier preventative interventions.

Patterns and Predictors of Educational Hypogamy in India

Educational hypogamy among women is inadequately explored in the Indian context. Based on National Family Health Survey (2019–21) data, this study elucidates the pattern and predictors of educational hypogamy and the role of caste in determining educational hypogamy in the country. Binary logistic regression and ordered logistic regression were applied using Stata. Fifteen percent of the women were in educationally hypogamous marriages, and there was an upward trend in its prevalence. The main determinants of educational hypogamy were lower age at marriage, backward caste, Hindu religion, rural residence, the educational achievement level of the bride, and higher age difference with the husband. Moreover, within educational hypogamy, caste hypergamy was preferred, primarily by socially backward groups.

Acceleration of brain aging after small-volume infarcts.

Previous studies have shown that stroke patients exhibit greater neuroimaging-derived biological "brain age" than control subjects. This difference, known as the brain age gap (BAG), is calculated by comparing the chronological age with predicted brain age and is used as an indicator of brain health and aging. However, whether stroke accelerates the process of brain aging in patients with small-volume infarcts has not been established. By utilizing longitudinal data, we aimed to investigate whether small-volume infarctions can significantly increase the BAG, indicating accelerated brain aging. A total of 123 stroke patients presenting with small-volume infarcts were included in this retrospective study. The brain age model was trained via established protocols within the field of machine learning and the structural features of the brain from our previous study. We used t-tests and regression analyses to assess longitudinal brain age changes after stroke and the associations between brain age, acute stroke severity, and poststroke outcome factors. Significant brain aging occurred between the initial and 6-month follow-ups, with a mean increase in brain age of 1.04 years (t = 3.066, p < 0.05). Patients under 50 years of age experienced less aging after stroke than those over 50 years of age (p = 0.245). Additionally, patients with a National Institute of Health Stroke Scale score >3 at admission presented more pronounced adverse effects on brain aging, even after adjusting for confounders such as chronological age, sex, and total intracranial volume (F 1,117 = 7.339, p = 0.008, η 2 = 0.059). There were significant differences in the proportional brain age difference at 6 months among the different functional outcome groups defined by the Barthel Index (F 2,118 = 4.637, p = 0.012, η 2 = 0.073). Stroke accelerates the brain aging process, even in patients with relatively small-volume infarcts. This phenomenon is particularly accentuated in elderly patients, and both stroke severity and poststroke functional outcomes are closely associated with accelerated brain aging. Further studies are needed to explore the mechanisms underlying the accelerated brain aging observed in stroke patients, with a particular focus on the structural alterations and plasticity of the brain following minor strokes.

Prevalence and associations of asymptomatic left ventricular systolic dysfunction in Lebanese patients with type 2 diabetes mellitus.

Diabetes Mellitus is a prevalent disease with a growing impact on individuals worldwide. Evaluating the prevalence of subclinical left ventricular dysfunction and understanding its associations with microvascular complications, uncontrolled glycemia, diabetes duration, and patient age is crucial. Our aim is to determine the utility of screening for this condition. We conducted a retrospective cohort study involving 159 asymptomatic individuals with type 2 diabetes. Bivariate analysis was employed to assess potential factors and their associations with subclinical left ventricular dysfunction. Patients with a history of cardiac disease or interventions were excluded. The average age of our sample was 61.5 years. Almost half of the patients exhibited an HbA1c exceeding 7% (50.3%), and approximately half had an ejection fraction (EF) of less than 55% (50.9%). In the bivariate analysis, a notable difference in microvascular diabetic complications was observed among different EF groups. Specifically, nephropathy (62%), neuropathy (57.5%), and retinopathy (74.4%) were significantly more prevalent among patients with an EF < 55%. We also identified a significant age difference between groups, with a higher mean diabetes duration (14.1 ± 7.7 years) in the lower EF group. Notably, 63.7% of patients with an HbA1c exceeding 7% exhibited an EF < 55%. Older patients were associated with a lower EF, with an adjusted odds ratio (aOR) of 0.94. An HbA1c of 7% or less was linked to a higher likelihood of an EF > 55%. We established a correlation between subclinical left ventricular systolic dysfunction and microvascular complications. However, further extensive prospective research is necessary to deepen our understanding of these associations and their clinical implications.

Serum insulin-like growth factor-1 as a potential prognostic biomarker for heart failure with reduced ejection fraction: a meta-analysis.

Most studies have indicated that peripheral insulin-like growth levels factor-1 (IGF-1) is valuable in diagnosing heart failure, although the results have been inconsistent. To help solve the debate, we performed a meta-analysis to explore the relationship between IGF-1 and heart failure (HF). We conducted an extensive search across various databases such as Embase, Cochrane Library, Pubmed, Medline, and Web of Science on May 30, 2023. From the extensive pool of studies, we selected 16 relevant articles, encompassing a total of 1,380 cases and 1,153 controls, to conduct a rigorous meta-analysis. The total results indicated that there is an association between lower IGF-1 level and HF. The random-effects model yielded a pooled standardized mean difference (SMD) of -0.598 (95% CI: -1.081 to -0.116, P = 0.015). Further subgroup analysis also showed that IGF-1 levels were associated with HF in the age difference ≥5 years subgroup and body mass index difference >1 subgroup. Additionally, significant association between IGF-1 levels and HF were detected in the "serum" samples and "Europe" subgroups. Importantly, we observed IGF-1 showed significant lower levels in patients with reduced ejection fraction (HFrEF) compared to the controls, not in patients with preserved ejection fraction (HFpEF). The Begg's and Egger's tests revealed no indication of publication bias. Our meta-analysis has provided evidence suggesting a substantial correlation between reduced levels of IGF-1 and the occurrence of HF. Further prospective studies are necessary to ascertain the use of IGF-1 as a reliable biomarker for diagnosing HF, especially for HFrEF. But the diagnosis of HFpEF should be cautious.

Prognostic impact of DTA mutation and co-occurring mutations in patients with myelodysplastic syndrome.

To evaluate the frequency and prognostic significance of DTA (DNMT3A、TET2、ASXL1) gene mutation and co-occurring mutations in patients with myelodysplastic syndrome (MDS). The clinical data of 102 newly diagnosed MDS patients who accepted Next Generation Sequencing (NGS) was retrospectively analyzed. According to whether the patients had DTA gene mutation, the patients were divided into DTA mutated (DTA-mut) group and wild type (DTA-wt) group, and the relationship between gene mutation and clinical characteristics and prognosis was analyzed. Among the 102 MDS patients, 96% (98/102) presented with mutation, while the mean number of mutations was 3.04 mutations/patient. DTA-mut was detected in 56.9% (58/102) patients. The most frequent co-mutated genes in DTA-mut group were SF3B1 (25.8%), RUNX1 (24.1%), U2AF1 (18.9%), SRSF2, EZH2, SETBP1 (17.2%), STAG2 (15.5%), IDH2 (12.1%) and BCOR, CBL (10.3%). The two groups showed no significant differences in ages, blood parameters, bone marrow blasts, WHO 2022 classification, IPSS-R risk category and rate of conversion to leukemia. Compared with the DTA-wt group, the mutation frequency of RUNX1 was higher (P = 0.02), while mutation frequency of TP53 was lower (P = 0.001) and the mutation frequency of ≥ 3 co-mutated genes was higher in DTA-mut group (P = 0.00). Survival analysis showed that the overall survivals (OS) of DTA-mut patients was significantly inferior to that of DTA-wt patients (P = 0.0332). According to IPSS-R classification, a statistically significant difference in OS was only observed in higher risk (IPSS-R > 3.5) group (P = 0.0058). In the context of DTA mutation, the OS of patients with RUNX1 mutation was shorter than that of patients without RUNX1 mutation significantly (P = 0.0074). The OS of patients with SF3B1 mutation was longer than that of patients without SF3B1 mutation, but there was no statistical difference (P = 0.0827). DTA mutations were not independent prognostic factors when DTA and co-mutated genes with frequency > 10% were considered in Cox regression model (P = 0.329). However, multivariate analysis confirmed an independently adverse prognosis of RUNX1 co-mutation (P = 0.042, HR = 2.426, 95% CI:1.031-5.711) in DTA-mut cohort. Moreover, our multivariable analysis suggests that SRSF2-mutwas an independent poor prognostic factor for all MDS patients (P = 0.047), but lost significance (P = 0.103) for DTA-mut patients. DTA mutations are frequently observed in patients with MDS, often accompanied by genes involved in RNA splicing and transcription factors like SF3B1 and RUNX1. DTA and concomitant mutations affect prognosis in MDS patients and RUNX1 was identified as an independent poor prognostic factor in patients with DTA mutations.

Development and external validation of a novel modality for rapid recognition of aortic dissection based on peripheral pulse oximetry waveforms.

Aortic dissection (AD) is a life-threatening cardiovascular emergency that is often misdiagnosed as other chest pain conditions. Physiologically, AD may cause abnormalities in peripheral blood flow, which can be detected using pulse oximetry waveforms. This study aimed to assess the feasibility of identifying AD based on pulse oximetry waveforms and to highlight the key waveform features that play a crucial role in this diagnostic method. This prospective study employed high-risk chest pain cohorts from two emergency departments. The initial cohort was enriched with AD patients (n=258, 47% AD) for model development, while the second cohort consisted of chest pain patients awaiting angiography (n=71, 25% AD) and was used for external validation. Pulse oximetry waveforms from the four extremities were collected for each patient. After data preprocessing, a recognition model based on the random forest algorithm was trained using patients' gender, age, and waveform difference features extracted from the pulse oximetry waveforms. The performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA). The importance of features was also assessed using Shapley Value and Gini importance. The model demonstrated strong performance in identifying AD in both the training and external validation sets. In the training set, the model achieved an area under the ROC curve of 0.979 (95% CI: 0.961-0.990), sensitivity of 0.918 (95% CI: 0.873-0.955), specificity of 0.949 (95% CI: 0.912-0.985), and accuracy of 0.933 (95% CI: 0.904-0.959). In the external validation set, the model attained an area under the ROC curve of 0.855 (95% CI: 0.720-0.965), sensitivity of 0.889 (95% CI: 0.722-1.000), specificity of 0.698 (95% CI: 0.566-0.812), and accuracy of 0.794 (95% CI: 0.672-0.878). Decision curve analysis (DCA) further showed that the model provided a substantial net benefit for identifying AD. The median mean and median variance of the four limbs' signals were the most influential features in the recognition model. This study demonstrated the feasibility and strong performance of identifying AD based on peripheral pulse oximetry waveforms in high-risk chest pain populations in the emergency setting. The findings also provided valuable insights for future human fluid dynamics simulations to elucidate the impact of AD on blood flow in greater detail.

Multimorbidity as apredictor for inpatient admission in clinical emergency and acute medicine : Single-center cluster analysis

Parallel to demographic trends, an increase of multimorbid patients in emergency and acute medicine is prominent. To define easily applicable criteria for the necessity of inpatient admission, ahierarchical cluster analysis was performed. In aretrospective, single-center study data of n = 35,249 emergency cases (01/2016-05/2018) were statistically analyzed. Multimorbidity (MM) was defined by at least five ICD-10-GM diagnoses resulting from treatment. Ahierarchical cluster analysis was performed for those diagnoses initially summarized into 112 diagnosis subclusters to determine specific clusters of in- and outpatient cases. Hospital admission was determined in 81.2% of all ED patients (n = 28,633); 54.7% of inpatients (n = 15,652) and 0.97% of outpatient cases (n = 64) met the criteria for multimorbidity and the age difference between them was highly significant (68.7/60.8 years; p < 0.001). Using ahierarchical cluster analysis, 13clusters with different diagnoses were identified for inpatient multimorbid patients (MP) and 7clusters with primarily hematological malignancies for outpatient MP. The length of stay in the ED of inpatient MP was more than twice as long (max.8.3 h) as for outpatient MP (max.3.2 h.). The combination of diagnoses typical for MM were characterized as clusters in this study. In contrast to single or combined single diagnoses, the statistically determined characterization of clusters allows for asignificantly more accurate prediction of ED patients' disposition as well as for economic process allocation.

Age-related differences in delay discounting: Income matters.

Although the authors of a recent meta-analysis concluded there were no age-related differences in the discounting of delayed rewards, they did not examine the effects of income (Seaman et al., 2022). Accordingly, the present study compared discounting by younger and older adults (Ages 35-50 and 65-80) differing in household income. Two procedures were used: the Monetary Choice Questionnaire and the Adjusting-Amount procedure. Whereas no age difference was observed between the higher income (> $80,000) age groups, a significant difference was observed between younger and older adults with lower incomes (< $50,000): The younger adults discounted more steeply than the older adults. These findings, which were observed with both discounting procedures, support our buffering hypothesis, which assumes that the scarcity associated with a lower income is a stressor that can lead to steeper discounting, but that age-related increases in emotional stability can buffer such stressors, leading to age-related differences between lower income age groups. In contrast, no age difference was observed in higher income adults who experience much less scarcity. Further support for the buffering hypothesis comes from the finding that there was no age-related difference in discounting by the lower income groups when distress was statistically controlled. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Physiotherapy Outcomes Are Associated With Shorter Waiting Times, More Treatment Sessions and Younger Age: Analysis of a Clinical Database.

Musculoskeletal (MSK) conditions affect over 20.3 million people in the UK, presenting a substantial economic impact on health and social services. Physiotherapy can alleviate MSK conditions, especially if delivered in the acute or sub-acute period. However, patients often present after significant waiting times. Our analysis examined how waiting times and the number of treatments influenced physiotherapy outcomes for MSK conditions. Retrospective analysis of the Data for Impact, Physio First dataset. Logistic regression models assessed the effects of symptom duration, treatment frequency, and other variables on pain, Patient-Specific Functional Scores (PSFSs), and Goal Achievement (GA). Analysis of 15,624 patient records showed that patients treated within two weeks of symptom onset were more likely to have favourable outcomes in pain (odds ratio [OR]=2.01, 95% Confidence Interval [95% CI]=1.65-2.45), PSFS (OR=1.80, 95% CI=1.55-2.08), and GA (OR=1.74, 95% CI=1.51-2.01) compared to those treated after longer durations. Receiving four or more treatment sessions significantly improved outcomes compared with only one session (pain: OR=4.64, PSFS: OR=5.72, GA: OR=1.94, all p's<0.001), with no additional benefits beyond four sessions. Younger age was associated with better outcomes (approximately OR=0.99 per year age difference). Other findings included better outcomes in males and in those with fewer previous episodes of the condition. Shorter waiting times, a greater number of treatments, and younger patient age are associated with better physiotherapy outcomes for MSK conditions.

Timing of Pediatric Breast Reduction and Insurance Coverage: Single-institution Retrospective Study.

Although long-term benefits of reduction mammaplasty have been proven, the appropriate age for adolescent reduction mammaplasty has been highly debated due to possible need for revision surgery. Practitioners often delay offering breast reduction to adolescents below age 18 based on presumed insurance denial. We reviewed trends in insurance denial at a single children's hospital to analyze whether age and/or insurance carriers have a significant impact on coverage of breast reduction. A retrospective chart review from 2012 to 2022 of cisgender female patients with macromastia aged 12-20 years at the time of diagnosis was analyzed for differences in breast reduction insurance coverage based on age and body mass index at the time of diagnosis, referral to plastic surgery, and surgery. A total of 121 cisgender women were included. There were no significant differences in the mean ages of patients who underwent breast reduction versus those who did not (16.46 years versus 16.96 years, respectively; P = 0.089), or in the mean body mass index for patients who did versus those who did not receive breast reduction (28.58 kg/m² versus 29.05kg/m², P = 0.382). Furthermore, there were no significant differences in the proportion of patients undergoing breast reduction by age (P = 0.200) or by insurance class (P = 0.403). Although insurance varies with carrier, the present findings suggest that surgeons need not delay in facilitating preauthorization for breast reduction in symptomatic patients presenting anytime during their teenage years.

Patterns and characteristics of visits to psychiatric emergency departments: a three-year data study in China.

The composition and characteristics of emergency patients in the Affiliated Brain Hospital, Guangzhou Medical University during 2020-2022 were retrospectively analyzed to provide data support for the optimization of the process of psychiatric emergency and the elastic allocation of emergency medical staff. This study collected data from patients who sought medical attention at the emergency department of the Affiliated Brain Hospital, Guangzhou Medical University between January 1, 2020, and December 31, 2022. The fundamental information of these patients was statistically analyzed using descriptive analytic methods. In addition, a comprehensive statistical analysis was performed on the data of patient visits, which included precise triage time points, months, and seasons, in order to evaluate the temporal distribution of patient visits. The patient population had an average age of 36.4 years and was slightly more female (54.08%). The mean age of the male and female patients was 36.4 ± 18.91 and 36.4 ± 16.80 years, respectively. There was no statistically significant age difference between the male and female patients (p > 0.05). The top five diseases were mental disorder (6,483 cases), bipolar disorder (3,017 cases), depressive episode (2522 cases), schizophrenia (1778 cases) and anxiety state (1097 cases), accounting for 35.63%, 16.58%, 13.86%, 9.77% and 6.03% of the total, respectively. Additionally, a notable record of psychiatric drug intoxication was noted. Significant comorbidity with physical disorders, such as hypertension (9.36%), hypokalemia (3.41%), diabetes (2.83%), and cerebral infarction (2.79%), was also seen. The results of seasonal and monthly analysis indicated that emergency attendance patterns fluctuated, peaking in the spring and fall. The patterns of daily visits also revealed two peak times. The first peak occurs from 8:00 to 10:00, and the second peak occurs from 14:00 to 16:00. This study emphasizes the increasing occurrence of mental problems in psychiatric crises, particularly among younger populations, underscoring the necessity for comprehensive care methods. Specialized treatment methods and collaborative networks are required to address the substantial prevalence of psychiatric medication poisoning. Efficient allocation of resources and heightened security protocols are vital in emergency departments, particularly during periods of high demand and in handling instances of patient hostility.

P.247: Impact of age difference between donor and recipient in renal transplantation.

P.247: Impact of age difference between donor and recipient in renal transplantation.

Brain age prediction via cross-stratified ensemble learning

As an important biomarker of neural aging, the brain age reflects the integrity and health of the human brain. Accurate prediction of brain age could help to understand the underlying mechanism of neural aging. In this study, a cross-stratified ensemble learning algorithm with staking strategy was proposed to obtain brain age and the derived predicted age difference (PAD) using T1-weighted magnetic resonance imaging (MRI) data. The approach was characterized as by implementing two modules: one was three base learners of 3D-DenseNet, 3D-ResNeXt, 3D-Inception-v4; another was 14 secondary learners of liner regressions. To evaluate performance, our method was compared with single base learners, regular ensemble learning algorithms, and state-of-the-art (SOTA) methods. The results demonstrated that our proposed model outperformed others models, with three metrics of mean absolute error (MAE), root mean-squared error (RMSE), and coefficient of determination (R2) of 2.9405 years, 3.9458 years, and 0.9597, respectively. Furthermore, there existed significant differences in PAD among the three groups of normal control (NC), mild cognitive impairment (MCI) and Alzheimer's disease (AD), with an increased trend across NC, MCI, and AD. It was concluded that the proposed algorithm could be effectively used in computing brain aging and PAD, and offering potential for early diagnosis and assessment of normal brain aging and AD.

Children's bone age development is delayed with increasing altitude: a multicenter study.

To investigate the bone age (BA) characteristics of children living at high-altitude regions and determine the impact of altitude on the development of BA. From June 2014 to July 2022, 1,318 children with left hand-wrist radiographs were retrospectively enrolled from three different geographical altitudes (Beijing 43.5 m above sea level [asl], Lhasa 3650 m asl, and Nagqu 4500 m asl). The predicted age difference (PAD), defined as the difference between BA and chronologic age (CA), was considered the indicator for delayed or advanced growth. The PAD of children from the three regions in total and according to different age groups, genders, and ethnicities were compared. The linear regression model was used to assess the effect of altitude on PAD. A total of 1284 children (CA: 12.00 [6.45, 15.72] years; male: 837/1284, 65.2%) were included in the study with 407 from Beijing, 491 from Lhasa, and 386 from Nagqu. The PAD for Beijing, Lhasa, and Nagqu were 0.1 [-0.30, 0.65], -0.40 [-1.20, 0.27], and -1.42 [-2.32, -0.51] years, respectively. A linear regression analysis showed that altitude significantly contributed to PAD (compared to Beijing, Lhasa coefficient = -0.57, P < 0.001; Nagqu coefficient = -1.55, P < 0.001). High altitude might be an independent contributor to the delayed BA development of children. The impact of altitude on BA development was revealed for the first time, highlighting the necessity of considering the altitude of the area when evaluating BA development for children residing in high-altitude regions.