BMC Geriatrics最新文献

{"title":"The validity and reliability of the emotional consequences of elder abuse scale for Turkish language.","authors":"Serap Buztepe, Cantürk Çapik","doi":"10.1186/s12877-025-06026-0","DOIUrl":"10.1186/s12877-025-06026-0","url":null,"abstract":"<p><strong>Purpose: </strong>The aim of this study was to evaluate the validity and reliability of the 13-item Emotional Consequences of Elder Abuse Scale (ECEAS) among elderly individuals in Türkiye.</p><p><strong>Material and methods: </strong>This methodological study was conducted in three phases: (1) adaptation of the scale to the Turkish language with a back-translation process, (2) content validity assessment by a panel of experts, and (3) psychometric evaluations including factor analysis, validity coefficient calculation, and item-total correlation analysis. The sample consisted of 145 elderly individuals aged between 64 and 88, recruited from the Atatürk University Health Application and Research Center Physical Therapy Clinic. Data were collected through face-to-face interviews conducted between September and December 2023. To ensure randomization, a lottery method was applied, selecting individuals whose citizenship numbers ended in odd digits. Inclusion criteria were individuals aged 65 or older, who were caregivers, and mentally competent. Data were gathered using a demographic information form and the Emotional Consequences of Elder Abuse Scale. The demographic form contained 14 items, while the ECEAS, which consists of 1 dimension and 13 items, was utilized to assess the emotional impacts of elder abuse.</p><p><strong>Results: </strong>Although the Emotional Consequences of Elder Abuse Scale had 6 factors in its original form, it was decided to have one single sub-dimension in the Turkish version. All fit index values of the Confirmatory Factor Analysis were found to be acceptable (x²/df = 3.13, p > 0.05, AGFI = 0.97, GFI = 0.98, CFI = 1.00, RMSEA = 0.022, SRMR = 0.075). The reliability coefficient of the Turkish version of the Emotional Consequences of Elder Abuse Scale was 0.911 and item-total correlations were between 0.54-0.79. In examining the suitability of the scale for factor analysis, the Kaiser-Meyer-Olkin coefficient was 0.896 and Bartlett's Sphericity Test result was x² = 1035.559 (p = 0.000). The factor loads of all items of the scale were above 0.30 and the explained variance was 49.737%. The factor loads of the model were found to be 0.33-0.83 and the t-value of all items was > 1.96 (3.86-13.26). In evaluating the internal consistency of the scales, reliability values were found to be 0.817 for the first half and 0.876 for the second half. Also, the correlation between the two halves of the scale was 0.791, the Spearman-Brown Coefficient was 0.883, and the Guttmann Split-Half Coefficient was 0.882.</p><p><strong>Conclusion: </strong>The results showed that the scale is a valid and reliable tool to be used to determine the emotional consequences of elder abuse in Turkish elderly individuals.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"369"},"PeriodicalIF":3.4,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12100827/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of body composition on fragility fractures in US elderly adults: a population-based study.","authors":"Xiaohong Huang, Dongxu Zhu, Tianrui Wang, Xiaodong Lian, Yingze Zhang","doi":"10.1186/s12877-025-05974-x","DOIUrl":"10.1186/s12877-025-05974-x","url":null,"abstract":"<p><strong>Objectives: </strong>The aim of this study was to investigate how variations in body composition impact the likelihood and location of fragility fractures in older adults.</p><p><strong>Methods: </strong>Data of US adults aged ≥ 60 years with fragility fracture and body dimension records (n = 13177, representing approximately 334 million US elderly adults) were from NHANES between 1999 and March 2020. We calculated body composition parameters, including the body roundness index (BRI), weight-adjusted waist index (WWI), abdominal visceral fat index (AVI), and arm-to-waist circumference ratio (AC/WC). Linear regression analyzed trends in site-specific fragility fractures, while logistic regression assessed the separate and joint effects of parameters.</p><p><strong>Results: </strong>Fragility fractures increased, especially among elderly with central obesity. A rounded body shape (OR_{4.42 ≤ BRI ≤ 5.60} = 0.6, 95% CI, 0.4-0.9; OR_{5.61 ≤ BRI ≤ 7.00} = 0.5, 95% CI, 0.3-0.8; OR_{BRI ≥7.01} = 0.4, 95% CI, 0.2-0.8) and a balanced arm-to-waist size (OR_{0.32 ≤ AC/WC ≤ 0.33} = 0.6, 95% CI, 0.4-0.9) reduced the risk of hip fractures, and a moderate fat content (OR_{11.45 cm/√kg ≤WWI≤1.93 cm/√kg} = 0.6; 95% CI, 0.4-1.0) lowered the risk of vertebral fractures. Joint analyses found that moderate-built (OR_{BRI < 4.42, 10.96 cm/√kg ≤WWI≤11.44 cm/√kg} = 1.9, 95% CI, 1.3-3.0) elderly faced doubled risk of hip fractures compared to those with severe central obesity (BRI ≥ 7.01, WWI 11.45-11.93 cm/√kg), while mild obesity (OR_{5.61≤ BRI≤7.00, WWI < 10.96 cm/√kg} = 0.1, 95% CI, 0.0-0.6) carried only 10% of this risk. A stocky physique (OR_{BRI ≥ 7.01, AVI 20.48-23.44 cm²/1000} = 3.6, 95% CI, 1.1-11.1) was a significant risk factor for vertebral fragility fractures, while fit individuals with strong arms (OR_{BRI < 4.42, AC/WC ≥ 0.34} = 0.7, 95% CI, 0.5-1.0) experienced a lower incidence of vertebral fractures.</p><p><strong>Conclusions: </strong>This population-based cohort study identified distinct risk groups for fragility fractures and clearly visualized these high-risk populations, which contributes to preventing fragility fractures and reduce the risk of second fractures.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"370"},"PeriodicalIF":3.4,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12100971/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131786","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measures and tools assessing medication self-management capability in older people across the hospital-to-home transition: a systematic scoping review.","authors":"Hadeel Mohamed, Justine Tomlinson, Eman Ali, Amal Badawoud, Jonathan Silcock, Adam Jameson, Adam Sutherland, Heather Smith, Beth Fylan, Peter Gardner","doi":"10.1186/s12877-025-06001-9","DOIUrl":"10.1186/s12877-025-06001-9","url":null,"abstract":"<p><strong>Background: </strong>Adverse drug events from medication-related harm (MRH) can lead to hospital readmissions, compromised quality of life, and even death. Post-hospital discharge is a vulnerable period for older adults, who are often unprepared to resume self-care and medication self-management. Assessing medication self-management capability in older people can guide supportive interventions and improve medication-related outcomes. This review aimed to identify measures and tools used to assess medication self-management capability for older patients during the hospital-to-home transition.</p><p><strong>Methods: </strong>Medline, EMBASE, PsycINFO, CINAHL and Cochrane Library of Systematic Reviews were comprehensively searched for articles from database inception to December 2023. Eligible studies included participants aged 65 or older across the hospital-to-home transition and measures containing at least one medication self-management component. Data extraction was performed using a standardised form, characteristics of measures tabulated, and a narrative approach used to describe measures. Reporting conforms to the Preferred Reporting Items for Systematic Reviews and Meta-analyses extension for Scoping Reviews checklist (PRISMA-ScR).</p><p><strong>Results: </strong>Fourteen studies were included, and 12 unique measures identified. Measures predominantly focused on adherence rather than broader medication self-management components. Timing of measure administration and the individual administering the measure varied greatly. Medication self-management capability was determined through assessment of physical and cognitive skills. Number and type of skills assessed varied between measures. No measures considered all medication self-management components.</p><p><strong>Conclusions: </strong>Current measures for medication self-management capability assessment primarily focus on cognitive and physical skills, with significant emphasis on adherence. Findings emphasise the importance of comprehensive definitions of medication self-management across the hospital-to-home transition. Recommendations are provided for developing future measures.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"368"},"PeriodicalIF":3.4,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12100910/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144131797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"IADL for identifying cognitive impairment in Chinese older adults: insights from cross-lagged panel network analysis.","authors":"Xiaotong Zhai, Ruizhe Wang, Ran Liu, Depeng Jiang, Xiaojin Yu","doi":"10.1186/s12877-025-06017-1","DOIUrl":"10.1186/s12877-025-06017-1","url":null,"abstract":"<p><strong>Background: </strong>As China has entered an aging society, the prevention of cognitive impairment is of great importance. The progression of cognitive impairment is usually a slow and continuous process, with Instrumental Activities of Daily Living (IADL) serving as a sensitive indicator for early prediction of cognitive decline. The objective of this study was to utilize longitudinal network analysis to pinpoint the most sensitive indicators of IADLs to identify cognitive impairment in different populations, and to offer practical recommendations for preventing cognitive impairment among older adults in China.</p><p><strong>Methods: </strong>A total of 2,781 participants were selected from the Chinese Longitudinal Healthy Longevity Survey (CLHLS 2014-2018). Cognitive function and IADLs were assessed by Mini-mental State Examination (MMSE) and Chinese modified Lawton scale, respectively. In this study, the cross-lagged panel network (CLPN) model was employed to construct three separate networks for all Chinese older adults, male Chinese older adults, and female Chinese older adults, respectively. Two centrality indices were used to quantify symptom centrality in directed CLPN: In-Expected-Influence (IEI) and Out-Expected-Influence (OEI).</p><p><strong>Results: </strong>In the IADLs and cognitive function networks, \"Use public transit,\" \"Make food\" and \"Walk 1 km\" emerged as the most influential and important indicators. The edge \"Use public transit → Attention and Calculation\" was the strongest edge connection in all three networks. Among older adult males, \"General ability\" exhibited the most influence on other cognitive domains, followed by \"Language,\" while \"Attention and Calculation\" had a weaker influence. Conversely, among older adult females, \"Attention and Calculation\" was the most influential factor, followed by \"General ability\" and \"Language.\"</p><p><strong>Conclusions: </strong>This study provides new insights into the associations between specific IADL activities and cognitive function domains among Chinese older adults. Concentrate on monitoring limitations related to \"Use public transit,\" \"Make food\" and \"Walk 1 km,\" and promoting broader life-space mobility may be beneficial to preventing the decline of cognitive function. The findings underscore the importance of targeting interventions not only by specific cognitive domains, but also potentially by gender.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"364"},"PeriodicalIF":3.4,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12096792/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144126538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The risk prediction models for cognitive frailty in the older people in China: a systematic review and meta-analysis.","authors":"Minhua Ren, Hongtao Guo, Yingjie Guo, Wanjun Guo, Liangjin Zhu","doi":"10.1186/s12877-025-05961-2","DOIUrl":"10.1186/s12877-025-05961-2","url":null,"abstract":"<p><strong>Background: </strong>Recently, many risk prediction models for Cognitive Frailty (CF) in older people in China have been developed. However, there is a shortage of large-scale systematic and comprehensive studies of the methods, quality, and predictors involved in model development.</p><p><strong>Aims: </strong>To systematically assess the risk prediction model of CF in older people in China and to conduct a meta-analysis of its predictors.</p><p><strong>Methods: </strong>PubMed, Cochrane Library, EMbase, Web of Science, CNKI, Wanfang, VIP, and SinoMed were searched from the inception to April 30, 2024. Two researchers independently screened the literature and extracted data. The quality of studies was assessed using the PROBAST tool. Additionally, Stata 18.0 software and MedCalc software were employed to perform a meta-analysis of the modeled predictors and area under the curve (AUC).</p><p><strong>Results: </strong>17 articles were included, encompassing 22 CF risk prediction models, involving 9,614 participants, of which 2488 (25.9%) were diagnosed with CF. 15 models reported discrimination by AUC (0.710 to 0.991). 8 models conducted internal validation, while 7 models performed external validation. PROBAST evaluation results found that 15 articles (15/17, 88.24%) exhibited a high risk of bias (ROB). The most common predictors were advanced age, irregular exercise, malnutrition, depression, Barthel Index score, female gender, and Instrumental Activities of Daily Living (IADL) score.</p><p><strong>Conclusion: </strong>Due to imprecise modeling methods, incomplete presentation, and lack of external validation, the models' usefulness still needs to be determined. Seven predictive factors are established predictors for CF among older people, including advanced age and so on, but the roles of educational level and fall incidents warrant further investigation.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"365"},"PeriodicalIF":3.4,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12096584/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144126550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Patterns and determinants of medication adherence among older adult patients with diabetes in Korea: insights from a nationwide survey.","authors":"Sunmin Lee, Kyu-Hyoung Jeong","doi":"10.1186/s12877-025-05915-8","DOIUrl":"10.1186/s12877-025-05915-8","url":null,"abstract":"<p><strong>Background: </strong>Medication adherence is crucial for managing chronic diseases, especially among the older adults who are at an increased risk of polypharmacy and nonadherence. This study aimed to evaluate the patterns of medication adherence among older adult patients with diabetes in Korea and identify the factors affecting these patterns.</p><p><strong>Methods: </strong>Using data from the 2020 Korea Healthcare Panel, we analyzed 984 patients with diabetes aged ≥ 65 years. Medication adherence was assessed in three dimensions: dosage, frequency, and timing. The independent variables included sociodemographic factors, health status, and healthcare perceptions. Latent profile analysis and logistic regression were used to identify adherence patterns and determinants.</p><p><strong>Results: </strong>The study population demonstrated high levels of medication adherence with average scores close to the 'always adherent' category across all dimensions. Two distinct adherence profiles were identified: \"Adherent\" (87.5%) and \"Non-Adherent\" (12.5%). Factors significantly influencing adherence included living alone, self-care ability, perceived stress, depression, and subjective health perception. Living alone, perceived stress, and positive health perception were correlated with higher adherence and self-care ability, and depression inversely affected medication adherence.</p><p><strong>Conclusions: </strong>Older adult patients with diabetes in Korea show a high level of medication adherence. Medication adherence is multifactorial, highlighting the significant impact of non-medication factors in the older adult population.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"366"},"PeriodicalIF":3.4,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12100990/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144126548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development and validation of a nomogram for predicting cognitive frailty in patients on cancer.","authors":"Hui Wang, Yu Xia Wu, Su Yun Dong, Yan Qian, Hai Ou Yan","doi":"10.1186/s12877-025-05731-0","DOIUrl":"10.1186/s12877-025-05731-0","url":null,"abstract":"<p><strong>Objective: </strong>To investigate the current status of cognitive frailty in older cancer patients and construct a risk prediction model for cognitive frailty in older cancer patients.</p><p><strong>Methods: </strong>Using convenience sampling, 308 older cancer patients from four wards in the oncology department of a grade-A tertiary hospital in Jiangsu Province from November 2023 to May 2024 were selected as the research subjects, including a training set of 215 cases (70%) and a validation set of 93 cases (30%). Data were collected through a general information questionnaire, Activities of Daily Living Scale, Mini-Nutritional Assessment Scale, Geriatric Depression Rating Scale, Pittsburgh Sleep Quality Index, Fried Frailty Scale, and Mini-Mental State Examination. A prediction model was established using Logistic regression, and a visual nomogram was constructed using R software. The model's discriminative ability and calibration were evaluated using the receiver operating characteristic (ROC) curve and calibration curve, respectively, and the clinical effectiveness was assessed using the clinical decision curve (DCA).</p><p><strong>Results: </strong>The incidence of cognitive frailty in older cancer patients was 26.7%. Logistic regression analysis revealed that education level, depression, sleep disorders, and malnutrition were influencing factors for cognitive frailty (P < 0.05). The Hosmer-Leme-show test of the nomogram model showed <math> <msup><mrow><mi>χ</mi></mrow> <mn>2</mn></msup> </math> =10.342, P = 0.242. The area under the ROC curve was 0.934, with a sensitivity and specificity of 81.1% and 94.1%, respectively.</p><p><strong>Conclusions: </strong>Older cancer patients are at risk of cognitive frailty. The risk prediction model constructed in this study can conveniently and accurately predict the risk of cognitive frailty in older cancer patients, providing an important reference for clinical medical staff to conduct early assessment, screening, and intervention.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"363"},"PeriodicalIF":3.4,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12096756/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144118530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimorbidity patterns and prevalence among geriatric patients in Japanese hospital dentistry.","authors":"Kousuke Matsumoto, Takako Tsutsui, Ryu Hashimoto, Mitsuaki Sakakura, Tetsuari Onishi, Masaya Akashi","doi":"10.1186/s12877-025-06012-6","DOIUrl":"10.1186/s12877-025-06012-6","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to determine the prevalence of multimorbidity of a hospital dental patients with high rates of aging in Japan and to identify multimorbidity patterns in older patients (aged 65 years and older) through cluster analysis. As the population ages, the number of patients with multimorbidity is rising, highlighting the need for efficient allocation of dental resources and collaboration with other healthcare professionals. However, the prevalence and patterns of multimorbidity in older dental patients have not yet been reported. Such data could support standardized approaches to systematizing dental care.</p><p><strong>Methods: </strong>A retrospective survey was conducted on 1,011 patients in the Dental and Oral Surgery Department of Acute Care Hospital from April to October 2022, examining 17 types of chronic diseases per patient. For patients aged 65 years and older, cluster analysis using the non-hierarchical k-means method was applied to identify multimorbidity patterns.</p><p><strong>Results: </strong>The prevalence of multimorbidity was 61.4% among all patients and 86.5% among those aged 65 years and older. Cluster analysis revealed five distinct multimorbidity patterns in patients aged 65 and older, each defined by specific combinations of chronic diseases. Additionally, low independence in daily activities and high nursing care needs were associated with two particular multimorbidity patterns: a combination of stroke, digestive disease, hypertension, neurological disease, and a combination of cardiovascular disease, digestive disease, and metabolic disease.</p><p><strong>Conclusions: </strong>This study identified the prevalence and specific patterns of multimorbidity among older hospital dental patients, providing essential insights for dental professionals to enhance service provision and manage complex multimorbidity cases.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"362"},"PeriodicalIF":3.4,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12093780/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144118531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stepping through fear: analysing postural control in elderly women during transitional locomotor tasks.","authors":"Justyna Michalska, Anna Kamieniarz-Olczak, Grzegorz Juras, Kajetan J Słomka","doi":"10.1186/s12877-025-06024-2","DOIUrl":"10.1186/s12877-025-06024-2","url":null,"abstract":"<p><strong>Background: </strong>Fear of falling (FoF) is prevalent among older adults, particularly women, and is a known factor increasing fall risk during movement. FoF may naturally arise after the first fall incident as well as long before the first fall occurs. This study examined how FoF intensity affects static balance and transitional locomotor tasks in 81 healthy women aged 60 and older.</p><p><strong>Methods: </strong>Participants were divided into LOW, MODERATE, and HIGH FoF groups based on their Falls Efficacy Scale-International (FES-I) scores. Static balance was measured by center of pressure velocity (vCOP), while transitional tasks were assessed through transit time (TT), double support period (DSP), and stability times (S1-the time needed to destabilize the body before taking a step and S2- the time required to stabilize the position after taking a step) under unimpeded transition on a flat surface, obstacle clearance, step-up, and step-down conditions.</p><p><strong>Results: </strong>The findings showed no significant differences in static balance (vCOP) across FoF groups. However, the HIGH FoF group took longer to complete transitional tasks, with significantly increased TT, DSP, and S1 compared to the MODERATE group, particularly during obstacle clearance and step-up/down movements. This suggests that individuals with higher FoF take a more cautious approach, prioritizing stability over speed. No significant differences in S2 were found, indicating that FoF does not affect balance recovery after a step.</p><p><strong>Conclusion: </strong>The study concludes that while FoF does not impair static balance, it significantly impacts movement initiation and execution in transitional tasks. Prolonged preparation time (S1) in the HIGH FoF group highlights the role of fear in delaying movement. These findings are important for designing interventions to reduce FoF and prevent falls in older adults.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"360"},"PeriodicalIF":3.4,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12090669/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144109581","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the impact of sleep quality on physical function in Chinese older inpatient.","authors":"Xinmiao Chang, Ying Yuan, Jiling Liao, Qi Zhou, Wenbin Wu","doi":"10.1186/s12877-025-06019-z","DOIUrl":"10.1186/s12877-025-06019-z","url":null,"abstract":"<p><strong>Background: </strong>Sleep disorders and physical dysfunction are prevalent in the elderly, particularly among hospitalized individuals, yet the relationship between the two remains unclear. Given China's rapidly aging population, understanding how sleep quality relates to physical function is crucial for informing healthcare practices. This study aims to analyze the relationship between sleep quality and physical function indicators in older patients admitted to internal wards.</p><p><strong>Methods: </strong>In this cross-sectional study, the patients admitted in geriatric department were included. Sleep quality was assessed with 8 items Athens Insomnia Scale (AIS-8). Physical function was evaluated from 3 domains: mobility evaluated by Short Physical Performance Battery (SPPB) and gait speed, muscle strength evaluated by grip and chair rises test, balance performance assessed by Timed Up-and-Go test (TUGT). Logistic regression was applied for statistical analyses, adjusting for confounders.</p><p><strong>Results: </strong>A total of 545 old patients (≥ 60 years) were included. Those with poor sleep quality (AIS-8 ≥ 6) exhibited a higher likelihood of physical dysfunction, the odds ratio (95% confidence interval) was 1.892 (1.037-3.453) for low gait speed, 1.810 (1.110-2.952) for low grip strength, 2.491 (1.496-4.147) for impaired TUGT. Sleep quality components, particularly maintenance and daytime dysfunction, were linked to physical function indicators. Stratified by age, poor sleep quality was associated with a higher incidence of low grip strength and impaired TUGT in participants ≥ 75 years old. But the association wasn't seen in patients < 75 years. Stratified by gender, a significant association of sleep quality with impaired TUGT in female population was observed but not for the male population.</p><p><strong>Conclusions: </strong>Poor sleep quality was associated with reduced physical function, especially in with advancing ageand in women. Targeted interventions to enhance sleep in the elderly may contribute to maintaining physical function and improve the quality of life of such patients.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9056,"journal":{"name":"BMC Geriatrics","volume":"25 1","pages":"356"},"PeriodicalIF":3.4,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12090596/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144109585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}