BACKGROUND: Emotional prosody is the reflection of emotion types such as happiness, sadness, fear and anger in the speaker\'s tone of voice. Accurately perceiving, interpreting and expressing emotional prosody is an inseparable part of successful communication and social interaction. There are few studies on emotional prosody, which is crucial for communication, and the results of these studies have inconsistent information regarding age and gender.
OBJECTIVE: The primary aim of this study is to assess the perception of emotional prosody in healthy ageing. The other aim is to examine the effects of variables such as age, gender, language and neurocognitive capacity on the prediction of emotional prosody recognition skills.
METHODS: Sixty-nine participants between the ages of 18-75 were included in the study. Participants were grouped as the young group aged 18-35 (n = 26), the middle-aged group aged 36-55 (n = 24) and the elderly group aged 56-75 (n = 19). Perceptual emotional prosody test, motor response time test, and neuropsychological test batteries were administered to the participants. Participants were asked to recognise the emotion in the sentences played on the computer. Natural (neutral, containing neither positive nor negative emotion), happy, angry, surprised and panic emotions were evaluated with sentences composed of pseudoword stimuli.
RESULTS: It was observed that the elderly group performed worse in recognising angry, panic, natural and happy emotions and in total recognition, which gives the correct recognition performance in recognition of all emotions. There was no age-related difference in recognition of the emotion of surprise. The women were more successful in recognising angry, panic, happy and total emotions compared to men. Age and Motor Reaction Time Test scores were found to be significant predictors in the emotional response time regression model. Age, language, attention and gender variables were found to have a significant effect on the regression model created for the success of total recognition of emotions (p < 0.05).
CONCLUSIONS: This was a novel study in which emotional prosody was assessed in the elderly by eliminating lexical-semantic cues related to emotional prosody and associating emotional prosody results with neuropsychiatric tests. All our findings revealed the importance of age for the perception of emotional prosody. In addition, the effects of cognitive functions such as attention, which decline with age, were found to be important. Therefore, it should not be forgotten that many factors contribute to the success of recognising emotional prosody correctly. In this context, clinicians should consider variables such as cognitive health and education when assessing the perception of emotional prosody in elderly individuals.
CONCLUSIONS: What is already known on the subject Most of the studies compare young and old groups, and these studies evaluate the perception of emotional prosody by using sentences formed by observing the speech sounds, syllables, words and grammar rules in the vocabulary of the language. It has been reported that the perception of emotional prosody is lower, mostly in the elderly group, but there is inconsistent information in terms of age and gender. What this paper adds to existing knowledge Perceptual Prosody Recognition was evaluated with an experimental design in which sentence structures consisting of lexemes were used as stimuli and neurocognitive tests were included, taking into account the phonological and syntactic rules of language. This study was a novel study in diagnosing emotional prosody in terms of comparing different age groups and determining the factors affecting multidimensional emotional prosody, including neuropsychiatric features. What are the clinical implications of this work? All our findings revealed the importance of age for the perception of emotional prosody. In addition, it was determined that the effects of cognitive functions such as attention were important with age.

BACKGROUND: The relationship between metabolic syndrome (MetS) and gastric cancer (GC), which is a common metabolic disease, has attracted much attention. However, the specific metabolic characteristics of MetS in elderly patients with GC remain unclear.
OBJECTIVE: To investigate the differentially abundant metabolites and metabolic pathways between preoperative frailty and MetS in elderly patients with GC based on nontargeted metabolomics techniques.
METHODS: In this study, 125 patients with nonfrail nonmeal GC were selected as the control group, and 50 patients with GC in the frail group were selected as the frail group. Sixty-five patients with GC combined with MetS alone were included in the MetS group, and 50 patients with GC combined with MetS were included in the MetS group. Nontargeted metabolomics techniques were used to measure plasma metabolite levels by ultrahigh-performance liquid chromatography-mass spectrometry. Multivariate statistical analysis was performed by principal component analysis, orthogonal partial least squares, pattern recognition analysis, cluster analysis, and metabolic pathway annotation.
RESULTS: A total of 125 different metabolites, including amino acids, glycerophospholipids, sphingolipids, fatty acids, sugars, nucleosides and nucleotides, and acidic compounds, were identified via nontargeted metabolomics techniques. Compared with those in the control group, there were 41, 32, and 52 different metabolites in the MetS group, the debilitated group, and the combined group, respectively. Lipid metabolites were significantly increased in the MetS group. In the weak group, amino acids and most glycerol phospholipid metabolites decreased significantly, and fatty acids and sphingosine increased significantly. The combined group was characterized by significantly increased levels of nucleotide metabolites and acidic compounds. The alanine, aspartic acid, and glutamate metabolic pathways were obviously enriched in the asthenic group, and the glycerol and phospholipid metabolic pathways were obviously enriched in the combined group.
CONCLUSIONS: Elderly GC patients with simple frailty, simple combined MetS, and frailty combined with MetS have different metabolic characteristics, among which amino acid and glycerophospholipid metabolite levels are significantly lower in frail elderly GC patients, and comprehensive supplementation of fat and protein should be considered. Many kinds of metabolites, such as amino acids, lipids, nucleotides, and acidic compounds, are abnormally abundant in patients with MetS combined with fthenia, which may be related to tumor-related metabolic disorders.

OBJECTIVE: To avoid deviation caused by the traditional scale method, the present study explored the accuracy, advantages, and disadvantages of different objective detection methods in evaluating lower extremity motor function in elderly individuals.
METHODS: Studies on lower extremity motor function assessment in elderly individuals published in the PubMed, Web of Science, Cochrane Library and EMBASE databases in the past five years were searched. The methodological quality of the included trials was assessed using RevMan 5.4.1 and Stata, followed by statistical analyses.
RESULTS: In total, 19 randomized controlled trials with a total of 2626 participants, were included. The results of the meta-analysis showed that inertial measurement units (IMUs), motion sensors, 3D motion capture systems, and observational gait analysis had statistical significance in evaluating the changes in step velocity and step length of lower extremity movement in elderly individuals (P < 0.00001), which can be used as a standardized basis for the assessment of motor function in elderly individuals. Subgroup analysis showed that there was significant heterogeneity in the assessment of step velocity [SMD=-0.98, 95%CI(-1.23, -0.72), I2 = 91.3%, P < 0.00001] and step length [SMD=-1.40, 95%CI(-1.77, -1.02), I2 = 86.4%, P < 0.00001] in elderly individuals. However, the sensors (I2 = 9%, I2 = 0%) and 3D motion capture systems (I2 = 0%) showed low heterogeneity in terms of step velocity and step length. The sensitivity analysis and publication bias test demonstrated that the results were stable and reliable.
CONCLUSIONS: observational gait analysis, motion sensors, 3D motion capture systems, and IMUs, as evaluation means, play a certain role in evaluating the characteristic parameters of step velocity and step length in lower extremity motor function of elderly individuals, which has good accuracy and clinical value in preventing motor injury. However, the high heterogeneity of observational gait analysis and IMUs suggested that different evaluation methods use different calculation formulas and indicators, resulting in the failure to obtain standardized indicators in clinical applications. Thus, multimodal quantitative evaluation should be integrated.

UNASSIGNED: To investigate the associations of the oral microbiome status with diabetes characteristics in elderly patients with type 2 diabetes mellitus.
UNASSIGNED: A questionnaire was used to assess age, sex, smoking status, drinking status, flossing frequency, T2DM duration and complications, and a blood test was used to determine the glycated haemoglobin (HbA1c) level. Sequencing of the V3-V4 region of the 16S rRNA gene from saliva samples was used to analyze the oral microbiome.
UNASSIGNED: Differential analysis revealed that Streptococcus and Weissella were significantly enriched in the late-stage group, and Capnocytophaga was significantly enriched in the early-stage group. Correlation analysis revealed that diabetes duration was positively correlated with the abundance of Streptococcus (r= 0.369, p= 0.007) and negatively correlated with the abundance of Cardiobacterium (r= -0.337, p= 0.014), and the level of HbA1c was not significantly correlated with the oral microbiome. Network analysis suggested that the poor control group had a more complex microbial network than the control group, a pattern that was similar for diabetes duration. In addition, Streptococcus has a low correlation with other microorganisms.
UNASSIGNED: In elderly individuals, Streptococcus emerges as a potential biomarker linked to diabetes, exhibiting elevated abundance in diabetic patients influenced by disease exposure and limited bacterial interactions.

This study investigated how elderly individuals\' exercise satisfaction in snowy areas relates to their health indicators and future care needs. Survey data were collected from individuals aged ≥65 years who lived in snowy-cold regions. Participants completed measures of exercise satisfaction, frailty, quality of life (QOL), and cardiovascular health study during the winter and spring of 2019, with a follow-up measure in 2022 to assess care needs. Findings revealed an association between exercise satisfaction, QOL, and frailty indicators, irrespective of the season. Notably, winter exercise satisfaction showed a stronger correlation with future care needs compared to spring exercise satisfaction. Those expressing low winter exercise satisfaction were significantly more likely to require increased care 3 years later than those reporting no inactivity. Although physical activity was not measured directly, the findings underscore that perceptions of exercise satisfaction during snowy seasons can predict future care needs in older adults. The influence of seasonal variations and subjective exercise satisfaction on long-term care requirements is vital for tailored interventions and improved healthcare strategies for older adults in cold regions.

BACKGROUND: Hypertension is an established risk factor for mild cognitive impairment (MCI) in elderly individuals. Nevertheless, the impact of different levels of blood pressure on the progression of MCI remains uncertain. This study aims to investigate the non-linear relationship between blood pressure and MCI in the elderly and detect the critical blood pressure threshold, thus, improving blood pressure management for individuals at high risk of MCI.
METHODS: Data was obtained from the Chinese Longitudinal Healthy Longevity Survey (CLHLS) cohort. We chose normal cognitive elderly individuals who entered the cohort in 2014 for a 5-year follow-up to observe the progression of MCI. Subsequently, we utilized the Cox regression model to identify risk factors for MCI and conducted a Cox-based restricted cubic spline regression (RCS) model to examine the non-linear relationship between systolic blood pressure (SBP) and diastolic blood pressure (DBP) with MCI, determining the critical blood pressure threshold for MCI progression.
RESULTS: In the elderly population, female (HR = 1.489, 95% CI: 1.017-2.180), lacking of exercise in the past (HR = 1.714, 95% CI: 1.108-2.653), preferring animal fats (HR = 2.340, 95% CI: 1.348-4.061), increased age (HR = 1.061, 95% CI: 1.038-1.084), increased SBP (HR = 1.036, 95% CI: 1.024-1.048), and increased DBP (HR = 1.056, 95% CI: 1.031-1.081) were associated with MCI progression. After adjusting factors such as gender, exercise, preferred types of fats, and age, both SBP (P non-linear < 0.001) and DBP (P non-linear < 0.001) in elderly individuals exhibited a non-linear association with MCI. The risk of MCI rose when SBP exceeded 135 mmHg and DBP was in the range of 80-88 mmHg. However, when DBP exceeded 88 mmHg, there was a declining trend in MCI progression, although the HR remained above 1. The identified critical blood pressure management threshold for MCI was 135/80 mmHg.
CONCLUSIONS: In this study, we discovered that risk factors affecting the progression of MCI in elderly individuals comprise gender (female), preferring to use animal fat, lack of exercise in the past, increased age, increased SBP, and increased DBP. Additionally, a non-linear relationship between blood pressure levels and MCI progression was confirmed, with the critical blood pressure management threshold for MCI onset falling within the prehypertensive range.

BACKGROUND: Marital status is associated with cardiovascular disease (CVD) incidence and overall mortality, yet limited research on this topic in elderly individuals is available. Our aim was to comprehensively assess the impact of marital status and other family factors on CVD incidence and long-term mortality among elderly people.
METHODS: Data from the Chinese Longitudinal Healthy Longevity Survey (2002/2005/2008-2018) for participants aged ≥60 years were analysed. A cross-sectional study initially examined the correlation between spouses, offspring, living arrangements, and CVD using logistic regression. Subsequently, a retrospective cohort study investigated the long-term associations of these factors with overall mortality via Kaplan-Meier and Cox regression analyses.
RESULTS: The study involved 48 510 subjects (average age: 87 years). The cross-sectional analysis revealed a correlation between living with a spouse and an increased incidence of heart disease (adjusted OR 1.27, 95% CI 1.04-1.55) and cerebrovascular disease/stroke (adjusted OR 1.26, 95% CI 1.11-1.42). According to the retrospective cohort analysis, living with a spouse significantly reduced overall mortality (adjusted HR 0.84, 95% CI 0.80-0.87), irrespective of marital relationship quality. Conversely, living with offspring (adjusted HR 1.12, 95% CI 1.08-1.16), having more children (adjusted Pnonlinearity = 0.427) or cohabitants (adjusted Pnonlinearity < 0.0001) were associated with increased overall mortality.
CONCLUSIONS: In the elderly population, being married and living with a spouse were not significantly associated with a decrease in CVD incidence but were associated with a reduction in long-term overall mortality. Living with offspring, having more children, or having a larger family size did not replicate the protective effect but indicated greater overall mortality.

Environmental chemicals have been indicated to cause disruption of thyroid homeostasis in human populations. However, previous studies mostly focused on single group of chemicals. Herein, we investigate the independent and combined effects of multiple pollutants on thyroid homeostasis, including thyroid-stimulating hormone (TSH), total and free thyroxine (tT4 and fT4) and total and free triiodothyronine (tT3 and fT3) in elderly people. These environmental pollutants (n = 144) are from ten categories, including phenols, parabens, perfluoroalkyl substances (PFASs), polychlorinated biphenyls (PCBs), phthalate esters (PAEs), polycyclic aromatic hydrocarbons (PAHs), organochlorine pesticides (OCPs), organophosphate pesticides (OPPs), synthetic pyrethroids (SPs), herbicides, and metals. Few studies have evaluated the health risks of these 144 chemicals, especially their joint effects. In single-pollutant evaluations, multiple linear regression (MLR) models were used to estimate the independent associations between multiple exposures and thyroid biomarkers. In multi-pollutant evaluations, elastic net regression and Bayesian kernel machine regression (BKMR) models were used to estimate the combined associations. The MLR models showed that 41 chemicals were significantly related to THs levels. BKMR models revealed the most important chemical groups: metals for TSH, PAHs, SPs and PCBs for tT4, herbicides and SPs for tT3. This study will contribute to the understanding of multipollutant exposure and help prioritize specific chemical groups related to thyroid hormone disruption.

UNASSIGNED: Cardiac autonomic function (CAF) decreases with aging, and Acanthopanax senticosus Harms (ASH) consumption reportedly induces anti-stress effects. This study aimed to assess the effect of continuous supplementation of ASH on CAF during resting and standing tests in the elderly population.
UNASSIGNED: This double-blind, randomized controlled trial was conducted in the morning in a laboratory setting and was carried out between June 2017 and July 2017 at Kambaikan, Doshisha University (Karasuma-higashi-iru, Imadegawa-dori, Kamigyo-ku, Kyoto 602-8580, Japan). In total, 28 community-dwelling elderly individuals (mean ± standard deviation = 72.5 ± 4.5 years) were included. Each subject was instructed to consume ASH or placebo supplements twice daily for 4 weeks. An autonomic reflex orthostatic tolerance recorder was used to measure CAF in pre- and post-intervention phases. Parameters were measured in a seated position and included coefficient of variation of R-R intervals (CVRR), low frequency (LF), high frequency (HF), LF/HF ratio, blood pressure, and heart rate (HR). Changes in each parameter were evaluated before and after standing. All parameters were defined as the difference between the mean value obtained in a standing position for 2 min and that obtained in a 2-min seated position.
UNASSIGNED: A two-way analysis of variance revealed a significant group-time interaction effect on CVRR, HF, and ΔLF/HF ratio. Following the intervention, CVRR, HF, LF/HF ratio, systolic blood pressure (SBP), HR, ΔLF/HF ratio, ΔSBP, and ΔHR improved significantly in the ASH group only.
UNASSIGNED: Four-week supplementation of ASH improved CAF in community-dwelling elderly individuals during resting and standing tests.
UNASSIGNED: https://center6.umin.ac.jp/cgi-open-bin/ctr/ctr_view.cgi?recptno=R000031218, UMIN Clinical Trials Registry (UMIN000027251).

The immune system, the defense mechanism of the body, mainly consists of lymphocytes. The three primary subtypes of lymphocytes are natural killer cells (NK cells), bone marrow-derived lymphocytes (B-lymphocytes), and thymus-derived lymphocytes (T-lymphocytes). T-lymphocytes are mostly composed of CD (cluster of differentiation) cells, such as CD4+ and CD8+ subsets of CD cells. Immunosenescence is the term for the steady decline of the immune system with aging. There are alterations in the composition of various types of lymphocytes, especially in CD4 and CD8 T cells. The elderly are more vulnerable to infections due to immunosenescence, which raises morbidity and mortality rates. Physical exercises are believed to have the potential to alter immunosenescence and produce positive changes in immune cell composition. The extent of exercise-induced immune function changes was different in research studies owing to the differences in protocols, methodologies, testing procedures, ages, and gender compositions. The impact of an eight-week balance-based exercise intervention on immune biomarkers is investigated in this case series. In this case series, two elderly women residing in an institutional setting were exposed to an eight-week-long balanced-based supervised exercise intervention. The immunological biomarkers CD45, CD3, CD4, and CD8 were the outcome variables that were assessed. Data on the outcome variables was gathered both before and after the intervention. Using flow cytometry and single-platform technology, immune biomarkers were analyzed. Following the intervention, there was a rise in the CD45, CD3, CD4, and CD8 cell counts relative to the baseline data. The biomarkers showed only slight and statistically non-significant improvements.